Patient Experiences Survey¶


The Patient Experiences Survey can be found HERE.

The survey takes around 5-10 minutes.

Questions can be addressed to glennchan /at/ gmail [dot] com

An analysis of the current survey data is available below.

The data was analyzed on 2026-02-16.

Tutorial for understanding this page¶

Please visit https://forum.sickandabandoned.com/t/has-anybody-tried-heres-how-you-can-get-answers-to-that-question-fast/228

It is highly recommended that you start there.

Understanding the data¶

The rankings section should give a rough idea as to which treatments stand out as being promising treatments.

The section ranks all of the treatments (while ignoring those with very few data points). Then, specific types of treatments such as diet will be ranked against each another (while including treatments with very few data points). That analysis should help you understand:

  • How different types of treatments compare to each other
  • How different treatments stack up against one another within a particular category/type of treatment.

The charts section provides breakdowns for individual treatments. If a treatment has very few data points, it may be grouped together with other similar treatments.

The Symptoms versus treatment responses section analyzes whether self-reported symptoms correlate with treatment response.

The Severity analysis section looks at whether or not treatment responses are different based on peak severity (during the worst month of illness), current severity (past 30 days), and recovery (current versus peak severity).

How to use this analysis¶

If you're interested in a particular treatment, search this webpage for the name of that treatment. On desktop, use Crtl+F to bring up your browser's search function.

Treatment names are usually chosen to be short and memorable:

  • PLEX instead of plasmapheresis, therapeutic plasma exchange (TPE), etc.
  • Alinia instead of nitazoxanide.

There is a section where multiple names for a single treatment are listed- searching for any of the names will help you find the shortened memorable names. Remember to search for brand names and shortened versions of a treatment's name.

Sections¶

  • Understanding the data
  • Rankings of treatments
  • Comparison of similar treatments
  • Charts of treatment outcomes
  • Demographics
  • Symptoms versus treatment responses
  • Severity analysis
  • Additional analysis
  • List of treatments that helped the most

Rankings of treatments¶

  • Significant improvement is given a score of 3.
  • Mild improvement is given a score of 1.
  • Not much benefit/harm is given a score of 0.
  • Mild worsening is given a score of -1.
  • Significant worsening is given a score of -3.
  • Effect unclear is given a score of 0.

All treatments are judged based on its average score. If all surveyees were to report mild improvement, then the average score would be 1.

For risk scoring, only the negative scores are considered. The maximum possible range is from 0 to -3.

NOTE: This way of surveying patients likely measures patient satisfaction more than medical outcomes. It also measures aspects unrelated to medical outcomes (or patient satisfaction) such as how surveyees interpret survey questions, unfilled survey questions (even though the surveyee tried that treatment), etc.

Warning: Some treatments may be far more dangerous than they appear. In particular, many medical professionals are unaware of the risks of benzodiazepines and SSRIs such as suicide risk in adults (and children). Those drugs can also lead to withdrawal issues with long-term use. Please use some caution when interpreting the survey results. For example, deaths are not reported in the survey data because those who have passed away cannot fill out surveys.

Ranking of treatments surveyed.

While the chart above is limited to the most popular treatments, the tables below have data on all 235 treatments. Some of them are grouped together based on the treatments being similar to each other.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Avacen] 3.00 0.00 1
2 [Stem cells] 1.67 0.00 12
3 [Other diet] 1.54 -0.06 95
4 [Urotherapy] 1.50 0.00 4
5 [Other brain retraining] 1.50 -0.01 173
6 [Rupatadine] 1.40 0.00 10
7 [Pacing strategies] 1.40 -0.04 734
8 [Favipiravir] 1.33 0.00 3
9 [Low histamine diet] 1.29 -0.00 516
10 [Doxylamine] 1.24 0.00 21
11 [Anti inflammatory diet] 1.22 -0.02 209
12 [Glutenfree diet] 1.21 -0.01 492
13 [Prayer] 1.20 -0.02 368
14 [ASEA Redox] 1.18 -0.27 11
15 [Paleo diet] 1.18 -0.01 77
16 [Photobiomodulation] 1.17 -0.08 24
17 [Carnivore diet] 1.16 -0.11 94
18 [Chlorine dioxide] 1.09 0.00 23
19 [AIP diet] 1.06 -0.13 70
20 [Benzodiazepines] 1.06 -0.17 303
21 [Meditation] 1.05 -0.02 708
22 [Ayurveda] 1.03 -0.03 32
23 [Water and salt] 1.02 -0.02 723
24 [Quifenadine] 1.00 0.00 1
25 [Wahls protocol] 1.00 -0.16 19
26 [Seldane] 1.00 0.00 1
27 [Other antihistamines] 1.00 -0.03 69
28 [PLEX] 1.00 -0.20 5
29 [HBOT <=1.5 ATA, HBOT >1.5 ATA] 0.99 -0.14 140
30 [Avoiding exercise] 0.97 -0.15 853
31 [Opiates] 0.96 -0.20 127
32 [EBOO] 0.94 0.00 17
33 [Diazepam] 0.93 -0.24 138
34 [Maraviroc] 0.92 0.00 26
35 [Ivermectin] 0.91 -0.14 245
36 [Cardio Miracle] 0.90 0.00 10
37 [Time] 0.90 -0.30 1172
38 [Monoclonals] 0.88 -0.12 25
39 [Rapamycin] 0.88 0.00 8
40 [Drinking water] 0.87 -0.00 411
41 [Other chelation] 0.85 -0.09 33
42 [VNS] 0.85 -0.07 332
43 [Osteopathy] 0.82 -0.20 105
44 [Wim Hof with cold] 0.80 -0.16 185
45 [Keto diet] 0.80 -0.25 151
46 [Heparin, Eliquis, Clopidogrel, Xarelto, Sulod... 0.77 -0.22 168
47 [Ambien] 0.76 -0.24 75
48 [Colchicine] 0.76 -0.15 54
49 [Magnesium] 0.75 -0.06 935
50 [Root wellness] 0.75 -0.08 12
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
51 [Multiday wet fasting] 0.74 -0.35 113
52 [EMDR] 0.74 -0.15 145
53 [Other muscle relaxers] 0.73 -0.20 128
54 [Compression garments] 0.73 -0.05 438
55 [Guanfacine] 0.73 -0.36 56
56 [Psychedelic mushrooms] 0.73 -0.22 112
57 [Clarinex] 0.70 -0.28 47
58 [Mestinon] 0.70 -0.20 54
59 [LDN] 0.69 -0.33 357
60 [Beta blockers] 0.69 -0.34 369
61 [Other pain relievers] 0.67 -0.25 106
62 [Other TCM] 0.67 -0.20 99
63 [HCG] 0.67 0.00 3
64 [Zyrtec] 0.65 -0.11 446
65 [Serrapeptase] 0.65 -0.08 249
66 [Gupta program] 0.65 -0.07 57
67 [Cromolyn] 0.64 -0.29 56
68 [Lumbrokinase] 0.64 -0.03 106
69 [Patches] 0.63 -0.28 159
70 [Intermittent fasting] 0.62 -0.14 518
71 [Hydroxyzine] 0.62 -0.28 119
72 [Wet cupping] 0.62 -0.15 13
73 [IV vitamins] 0.62 -0.07 149
74 [Red light therapy] 0.62 -0.06 207
75 [Alinia] 0.62 -0.38 8
76 [NIBS] 0.61 -0.16 31
77 [Dry cupping] 0.61 -0.06 109
78 [HELP apheresis] 0.60 -0.47 15
79 [Acupuncture] 0.60 -0.18 401
80 [Probiotics prebiotics] 0.59 -0.10 682
81 [Tollovid] 0.59 -0.09 22
82 [Quantum healing] 0.59 -0.11 27
83 [Methylene blue] 0.58 -0.14 64
84 [Nattokinase] 0.58 -0.14 505
85 [Pepcid] 0.58 -0.20 397
86 [DAO] 0.57 -0.13 132
87 [Allegra] 0.57 -0.10 218
88 [TRT] 0.57 -0.18 56
89 [Kangen water] 0.56 0.00 9
90 [EDTA] 0.56 -0.22 18
91 [Claritin] 0.55 -0.12 356
92 [Plant based diet, Vegan diet] 0.55 -0.21 386
93 [Oil of oregano] 0.54 -0.09 139
94 [Plaquenil] 0.54 -0.31 83
95 [DNRS] 0.53 -0.11 36
96 [Sleeping with head of bed elevated] 0.53 -0.08 336
97 [IV vitamin C] 0.53 -0.06 93
98 [IV ozone] 0.53 -0.15 53
99 [CBT] 0.53 -0.13 405
100 [Paxlovid] 0.53 -0.23 123
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
101 [NAC] 0.52 -0.10 551
102 [Quercetin] 0.52 -0.06 570
103 [B vitamins] 0.51 -0.07 911
104 [Nigella sativa oil] 0.50 -0.06 126
105 [Mizolastine] 0.50 0.00 2
106 [Melatonin] 0.50 -0.17 602
107 [Chiropractic] 0.50 -0.23 212
108 [TWC detox] 0.50 -0.10 20
109 [Statins, Red yeast rice] 0.50 -0.14 139
110 [SGB] 0.50 -0.12 34
111 [Vitamin D] 0.49 -0.04 1009
112 [Activated charcoal] 0.49 -0.09 107
113 [IVIG, SCIG] 0.48 -0.24 29
114 [Corticosteroids] 0.48 -0.46 328
115 [Nigella sativa capsules] 0.47 -0.02 111
116 [Curcumin] 0.46 -0.05 666
117 [Glutathione] 0.46 -0.09 315
118 [Dandelion] 0.46 -0.06 211
119 [Zeolite] 0.45 -0.07 82
120 [ALA] 0.45 -0.06 278
121 [Ketotifen] 0.45 -0.42 62
122 [Inuspheresis] 0.44 -0.33 9
123 [Cat's claw] 0.44 -0.06 72
124 [Molnupiravir] 0.44 0.00 9
125 [24-48 hour fasting] 0.44 -0.46 208
126 [Resveratrol] 0.44 -0.04 266
127 [CoQ10] 0.43 -0.05 608
128 [Homeopathy] 0.43 -0.18 145
129 [Aciclovir, Famciclovir, Valtrex, Valcyte] 0.43 -0.19 172
130 [Infrared sauna] 0.43 -0.25 169
131 [OMAD] 0.43 -0.32 276
132 [Zinc] 0.43 -0.03 660
133 [Fish oil etc.] 0.43 -0.03 658
134 [Bentonite clay] 0.42 -0.08 66
135 [Vitamin C] 0.42 -0.04 805
136 [Lavender] 0.42 -0.04 106
137 [St. John's Wort] 0.41 -0.23 61
138 [Amphotericin, Canesten, Econazole, Fluconazol... 0.41 -0.26 199
139 [Acrivastine] 0.40 -0.16 129
140 [Nigella sativa seed] 0.40 -0.04 25
141 [NADH] 0.40 -0.12 230
142 [Aspirin] 0.39 -0.10 545
143 [CBD without THC] 0.39 -0.15 346
144 [CBD with THC] 0.39 -0.40 348
145 [Other nicotine] 0.38 -0.22 82
146 [Lion's mane] 0.36 -0.13 241
147 [Augmented NAC] 0.36 -0.13 188
148 [Advil] 0.36 -0.13 639
149 [K vitamins] 0.36 -0.06 341
150 [Benadryl] 0.35 -0.20 246
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
151 [Other NSAID] 0.35 -0.20 377
152 [Pine needle tea] 0.33 -0.08 101
153 [Bilastine] 0.33 -0.20 15
154 [Tylenol] 0.31 -0.06 560
155 [Multivitamin] 0.31 -0.06 567
156 [Montelukast] 0.31 -0.28 109
157 [Vedicinals9] 0.29 -0.33 21
158 [Ashwagandha] 0.29 -0.19 356
159 [Biocidin] 0.29 -0.21 24
160 [Abilify] 0.29 -0.50 52
161 [Xyzal] 0.28 -0.41 68
162 [Monolaurin] 0.24 -0.12 72
163 [Traditional sauna] 0.23 -0.43 118
164 [Wim Hof without cold] 0.21 -0.32 104
165 [Multiday juice fasting] 0.20 -0.55 60
166 [Rife] 0.17 -0.62 24
167 [Metformin] 0.13 -0.30 77
168 [Gabapentin] 0.06 -0.53 234
169 [Cigarettes] 0.05 -0.28 80
170 [Spermidine] 0.05 -0.10 62
171 [Antiseizure] 0.05 -0.49 93
172 [Vaping] 0.04 -0.30 97
173 [Tetracyclines, Fluoroquinolones, Penicillins,... 0.02 -0.54 524
174 [Semprex D] 0.00 -0.75 4
175 [Ebastine] 0.00 -0.43 7
176 [Astemizole] 0.00 0.00 1
177 [Multiday dry fasting] -0.03 -0.92 39
178 [Frequency wand] -0.09 -0.91 11
179 [Methotextrate, Biologic, DMARD] -0.19 -0.72 43
180 [Lightning process] -0.23 -0.77 13
181 [Elavil, Doxepin, Pamelor, Clomipramine, Clomi... -0.24 -0.63 216
182 [DTPA] -0.25 -0.25 4
183 [Remeron, Seroquel, Wellbutrin] -0.25 -0.68 316
184 [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... -0.30 -0.74 553
185 [Cymbalta, Effexor] -0.39 -0.85 175
186 [Light exercise] -0.52 -0.98 848
187 [Graded exercise therapy] -0.69 -1.18 335
188 [Immunoadsorption] -0.71 -0.86 7
189 [Intense exercise] -2.04 -2.24 647

Comparison of similar treatments¶

Exercise and activity-related only¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Pacing strategies] 1.40 -0.04 734
2 [Avoiding exercise] 0.97 -0.15 853
3 [Light exercise] -0.52 -0.98 848
4 [Graded exercise therapy] -0.69 -1.18 335
5 [Intense exercise] -2.04 -2.24 647

Blood thinning drugs + HELP apheresis¶

Please note that the sample sizes for certain treatments are very small. As well, the data may be highly biased and may not be representative of how other people might respond to blood thinning drugs.

Tylenol (acetaminophen) is not considered to be a blood-thinning drug. It is included because it is a common alternative to other drugs on this list (Advil, Aspirin, etc.).

WARNING: There is one anecdote of a ME/CFS patient worsening after HELP apheresis which eventually resulted in their death. The survey data may not fully capture the risk of that treatment. See https://forum.sickandabandoned.com/t/paper-on-help-apheresis-makes-extraordinary-claims-about-patient-recovery-beate-jaeger-and-colleagues/179
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Heparin] 1.00 -0.18 34
2 [Clopidogrel] 0.93 -0.19 59
3 [Xarelto] 0.92 -0.31 13
4 [Serrapeptase] 0.65 -0.08 249
5 [Lumbrokinase] 0.64 -0.03 106
6 [HELP apheresis] 0.60 -0.47 15
7 [Nattokinase] 0.58 -0.14 505
8 [Eliquis] 0.50 -0.29 56
9 [Aspirin] 0.39 -0.10 545
10 [Advil] 0.36 -0.13 639
11 [Other NSAID] 0.35 -0.20 377
12 [Tylenol] 0.31 -0.06 560
13 [Sulodexide] 0.00 0.00 6

Current theories and treatments related to those theories¶

Pacing strategies and HBOT (high ATA) are included as reference points.

WARNING: There is one anecdote of a ME/CFS patient worsening after HELP apheresis which eventually resulted in their death. The survey data may not fully capture the risk of that treatment. See https://forum.sickandabandoned.com/t/paper-on-help-apheresis-makes-extraordinary-claims-about-patient-recovery-beate-jaeger-and-colleagues/179
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Pacing strategies] 1.40 -0.04 734
2 [Low histamine diet] 1.29 -0.00 516
3 [HBOT >1.5 ATA] 1.25 -0.12 69
4 [Benzodiazepines] 1.06 -0.17 303
5 [Heparin] 1.00 -0.18 34
6 [PLEX] 1.00 -0.20 5
7 [Clopidogrel] 0.93 -0.19 59
8 [Xarelto] 0.92 -0.31 13
9 [Maraviroc] 0.92 0.00 26
10 [HBOT <=1.5 ATA] 0.75 -0.15 71
11 [Multiday wet fasting] 0.74 -0.35 113
12 [Serrapeptase] 0.65 -0.08 249
13 [Zyrtec] 0.65 -0.11 446
14 [Lumbrokinase] 0.64 -0.03 106
15 [Intermittent fasting] 0.62 -0.14 518
16 [HELP apheresis] 0.60 -0.47 15
17 [Pepcid] 0.58 -0.20 397
18 [Nattokinase] 0.58 -0.14 505
19 [Quercetin] 0.52 -0.06 570
20 [IVIG] 0.52 -0.17 23
21 [Statins, Red yeast rice] 0.50 -0.14 139
22 [Eliquis] 0.50 -0.29 56
23 [Corticosteroids] 0.48 -0.46 328
24 [24-48 hour fasting] 0.44 -0.46 208
25 [OMAD] 0.43 -0.32 276
26 [Aspirin] 0.39 -0.10 545
27 [Advil] 0.36 -0.13 639
28 [Other NSAID] 0.35 -0.20 377
29 [Sulodexide] 0.00 0.00 6
30 [Multiday dry fasting] -0.03 -0.92 39

Certain prescription drugs, statins, maraviroc¶

Excludes anti-depressants, anti-microbials, etc.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Opiates] 0.96 -0.20 127
2 [Diazepam] 0.93 -0.24 138
3 [Maraviroc] 0.92 0.00 26
4 [Colchicine] 0.76 -0.15 54
5 [Other muscle relaxers] 0.73 -0.20 128
6 [Beta blockers] 0.69 -0.34 369
7 [Other pain relievers] 0.67 -0.25 106
8 [Statins, Red yeast rice] 0.50 -0.14 139
9 [Abilify] 0.29 -0.50 52
10 [Gabapentin] 0.06 -0.53 234
11 [Antiseizure] 0.05 -0.49 93

Anti-depressants¶

  • Celexa is a SSRI
  • Cymbalta is a SNRI
  • Elavil is a TCA
  • Remeron is an atypical TCA
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Elavil, Doxepin, Pamelor, Clomipramine] -0.23 -0.63 209
2 [Remeron, Seroquel, Wellbutrin] -0.25 -0.68 316
3 [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... -0.30 -0.74 553
4 [Cymbalta, Effexor] -0.39 -0.85 175

Specific psychiatric drugs, SSRIs, TCAs, anti-psychotics, anti-seizure/anti-convulsants¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Diazepam] 0.93 -0.24 138
2 [Guanfacine] 0.73 -0.36 56
3 [Abilify] 0.29 -0.50 52
4 [Doxepin] 0.26 -0.18 66
5 [Gabapentin] 0.06 -0.53 234
6 [Antiseizure] 0.05 -0.49 93
7 [Lexapro] -0.04 -0.58 158
8 [Wellbutrin] -0.07 -0.55 138
9 [Fluvoxamine] -0.22 -0.66 58
10 [Prozac] -0.23 -0.80 93
11 [Vortioxetine] -0.24 -0.71 21
12 [Paxil] -0.29 -0.58 24
13 [Cymbalta] -0.33 -0.79 100
14 [Elavil] -0.33 -0.76 94
15 [Seroquel] -0.37 -0.69 102
16 [Remeron] -0.41 -0.89 76
17 [Celexa] -0.42 -0.69 62
18 [Clomipramine] -0.43 -0.57 7
19 [Effexor] -0.48 -0.93 75
20 [Zoloft] -0.64 -0.99 137
21 [Pamelor] -0.74 -1.07 42

Anti-histamines and certain MCAS drugs¶

While Quetiapine / Seroquel is often thought of as a TCA, it is also a H1 receptor antagonist. It is a dopamine, serotonin, and adrenergic antagonist, and a potent antihistamine with some anticholinergic properties.

DAO = Diamine Oxidase enzyme

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Rupatadine] 1.40 0.00 10
2 [Doxylamine] 1.24 0.00 21
3 [Other antihistamines] 1.00 -0.03 69
4 [Seldane] 1.00 0.00 1
5 [Quifenadine] 1.00 0.00 1
6 [Clarinex] 0.70 -0.28 47
7 [Zyrtec] 0.65 -0.11 446
8 [Hydroxyzine] 0.62 -0.28 119
9 [Pepcid] 0.58 -0.20 397
10 [DAO] 0.57 -0.13 132
11 [Allegra] 0.57 -0.10 218
12 [Claritin] 0.55 -0.12 356
13 [Mizolastine] 0.50 0.00 2
14 [Ketotifen] 0.45 -0.42 62
15 [Acrivastine] 0.40 -0.16 129
16 [Benadryl] 0.35 -0.20 246
17 [Bilastine] 0.33 -0.20 15
18 [Xyzal] 0.28 -0.41 68
19 [Doxepin] 0.26 -0.18 66
20 [Ebastine] 0.00 -0.43 7
21 [Astemizole] 0.00 0.00 1
22 [Semprex D] 0.00 -0.75 4
23 [Seroquel] -0.37 -0.69 102

Other MCAS treatments and sleep drugs¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Low histamine diet] 1.29 -0.00 516
2 [Benzodiazepines] 1.06 -0.17 303
3 [Diazepam] 0.93 -0.24 138
4 [Ambien] 0.76 -0.24 75
5 [Mestinon] 0.70 -0.20 54
6 [LDN] 0.69 -0.33 357
7 [Cromolyn] 0.64 -0.29 56
8 [Montelukast] 0.31 -0.28 109

Over-the-counter supplements only¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Cardio Miracle] 0.90 0.00 10
2 [Magnesium] 0.75 -0.06 935
3 [Root wellness] 0.75 -0.08 12
4 [Probiotics prebiotics] 0.59 -0.10 682
5 [Oil of oregano] 0.54 -0.09 139
6 [NAC] 0.52 -0.10 551
7 [Quercetin] 0.52 -0.06 570
8 [B vitamins] 0.51 -0.07 911
9 [Nigella sativa oil] 0.50 -0.06 126
10 [TWC detox] 0.50 -0.10 20
11 [Melatonin] 0.50 -0.17 602
12 [Vitamin D] 0.49 -0.04 1009
13 [Nigella sativa capsules] 0.47 -0.02 111
14 [Glutathione] 0.46 -0.09 315
15 [Dandelion] 0.46 -0.06 211
16 [Curcumin] 0.46 -0.05 666
17 [ALA] 0.45 -0.06 278
18 [Resveratrol] 0.44 -0.04 266
19 [Cat's claw] 0.44 -0.06 72
20 [Fish oil etc.] 0.43 -0.03 658
21 [Zinc] 0.43 -0.03 660
22 [CoQ10] 0.43 -0.05 608
23 [Vitamin C] 0.42 -0.04 805
24 [Lavender] 0.42 -0.04 106
25 [St. John's Wort] 0.41 -0.23 61
26 [Nigella sativa seed] 0.40 -0.04 25
27 [NADH] 0.40 -0.12 230
28 [CBD without THC] 0.39 -0.15 346
29 [CBD with THC] 0.39 -0.40 348
30 [Augmented NAC] 0.36 -0.13 188
31 [Lion's mane] 0.36 -0.13 241
32 [K vitamins] 0.36 -0.06 341
33 [Pine needle tea] 0.33 -0.08 101
34 [Multivitamin] 0.31 -0.06 567
35 [Monolaurin] 0.24 -0.12 72
36 [Spermidine] 0.05 -0.10 62

Diet only¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Other diet] 1.54 -0.06 95
2 [Low histamine diet] 1.29 -0.00 516
3 [Anti inflammatory diet] 1.22 -0.02 209
4 [Glutenfree diet] 1.21 -0.01 492
5 [Paleo diet] 1.18 -0.01 77
6 [Carnivore diet] 1.16 -0.11 94
7 [AIP diet] 1.06 -0.13 70
8 [Wahls protocol] 1.00 -0.16 19
9 [Keto diet] 0.80 -0.25 151
10 [Plant based diet] 0.65 -0.14 257
11 [Vegan diet] 0.33 -0.35 129

Fasting and autophagy¶

Hydroxychloroquine/Plaquenil inhibits autophagy rather than promoting it.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Multiday wet fasting] 0.74 -0.35 113
2 [Intermittent fasting] 0.62 -0.14 518
3 [Plaquenil] 0.54 -0.31 83
4 [24-48 hour fasting] 0.44 -0.46 208
5 [Resveratrol] 0.44 -0.04 266
6 [OMAD] 0.43 -0.32 276
7 [Multiday juice fasting] 0.20 -0.55 60
8 [Spermidine] 0.05 -0.10 62
9 [Multiday dry fasting] -0.03 -0.92 39

Mental and alternative treatments only¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Avacen] 3.00 0.00 1
2 [Other brain retraining] 1.50 -0.01 173
3 [Urotherapy] 1.50 0.00 4
4 [Prayer] 1.20 -0.02 368
5 [ASEA Redox] 1.18 -0.27 11
6 [Photobiomodulation] 1.17 -0.08 24
7 [Chlorine dioxide] 1.09 0.00 23
8 [Meditation] 1.05 -0.02 708
9 [Ayurveda] 1.03 -0.03 32
10 [VNS] 0.85 -0.07 332
11 [Osteopathy] 0.82 -0.20 105
12 [Wim Hof with cold] 0.80 -0.16 185
13 [EMDR] 0.74 -0.15 145
14 [Other TCM] 0.67 -0.20 99
15 [Gupta program] 0.65 -0.07 57
16 [Red light therapy] 0.62 -0.06 207
17 [Wet cupping] 0.62 -0.15 13
18 [NIBS] 0.61 -0.16 31
19 [Dry cupping] 0.61 -0.06 109
20 [Acupuncture] 0.60 -0.18 401
21 [Quantum healing] 0.59 -0.11 27
22 [Kangen water] 0.56 0.00 9
23 [DNRS] 0.53 -0.11 36
24 [CBT] 0.53 -0.13 405
25 [Chiropractic] 0.50 -0.23 212
26 [Zeolite] 0.45 -0.07 82
27 [Homeopathy] 0.43 -0.18 145
28 [Infrared sauna] 0.43 -0.25 169
29 [Bentonite clay] 0.42 -0.08 66
30 [Traditional sauna] 0.23 -0.43 118
31 [Wim Hof without cold] 0.21 -0.32 104
32 [Rife] 0.17 -0.62 24
33 [Lightning process] -0.23 -0.77 13

Mental treatments only¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Other brain retraining] 1.50 -0.01 173
2 [Prayer] 1.20 -0.02 368
3 [Meditation] 1.05 -0.02 708
4 [Wim Hof with cold] 0.80 -0.16 185
5 [EMDR] 0.74 -0.15 145
6 [Gupta program] 0.65 -0.07 57
7 [Acupuncture] 0.60 -0.18 401
8 [DNRS] 0.53 -0.11 36
9 [CBT] 0.53 -0.13 405
10 [Wim Hof without cold] 0.21 -0.32 104
11 [Lightning process] -0.23 -0.77 13

Infusion treatments, Expensive treatments including Stellate Ganglion Block, immune-suppressing drugs¶

*This survey did not ask whether methylene blue was taken via IV or swallowed into the body.

WARNING: There is one anecdote of a ME/CFS patient worsening after HELP apheresis which eventually resulted in their death. The survey data may not fully capture the risk of that treatment. See https://forum.sickandabandoned.com/t/paper-on-help-apheresis-makes-extraordinary-claims-about-patient-recovery-beate-jaeger-and-colleagues/179
Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Stem cells] 1.67 0.00 12
2 [HBOT >1.5 ATA] 1.25 -0.12 69
3 [PLEX] 1.00 -0.20 5
4 [EBOO] 0.94 0.00 17
5 [Rapamycin] 0.88 0.00 8
6 [HBOT <=1.5 ATA] 0.75 -0.15 71
7 [IV vitamins] 0.62 -0.07 149
8 [HELP apheresis] 0.60 -0.47 15
9 [Methylene blue] 0.58 -0.14 64
10 [IV ozone] 0.53 -0.15 53
11 [IVIG] 0.52 -0.17 23
12 [SGB] 0.50 -0.12 34
13 [Corticosteroids] 0.48 -0.46 328
14 [Inuspheresis] 0.44 -0.33 9
15 [SCIG] 0.33 -0.50 6
16 [Biologic] 0.23 -0.46 13
17 [DMARD] 0.13 -0.47 15
18 [Immunoadsorption] -0.71 -0.86 7
19 [Methotextrate] -0.87 -1.20 15

Anti-microbials¶

Chronic Lyme treatments such as HBOT, methylene blue, IV ozone, and monolaurin are included. Amphotericin, Canesten, Econazole, etc. are anti-fungals.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Favipiravir] 1.33 0.00 3
2 [HBOT >1.5 ATA] 1.25 -0.12 69
3 [Ivermectin] 0.91 -0.14 245
4 [Rapamycin] 0.88 0.00 8
5 [Monoclonals] 0.88 -0.12 25
6 [HBOT <=1.5 ATA] 0.75 -0.15 71
7 [Alinia] 0.62 -0.38 8
8 [Methylene blue] 0.58 -0.14 64
9 [Oil of oregano] 0.54 -0.09 139
10 [Plaquenil] 0.54 -0.31 83
11 [IV ozone] 0.53 -0.15 53
12 [Paxlovid] 0.53 -0.23 123
13 [Nigella sativa oil] 0.50 -0.06 126
14 [Nigella sativa capsules] 0.47 -0.02 111
15 [Molnupiravir] 0.44 0.00 9
16 [Cat's claw] 0.44 -0.06 72
17 [Aciclovir, Famciclovir, Valtrex, Valcyte] 0.43 -0.19 172
18 [Lavender] 0.42 -0.04 106
19 [Amphotericin, Canesten, Econazole, Fluconazol... 0.41 -0.26 199
20 [Nigella sativa seed] 0.40 -0.04 25
21 [Lion's mane] 0.36 -0.13 241
22 [Biocidin] 0.29 -0.21 24
23 [Monolaurin] 0.24 -0.12 72
24 [Tetracyclines, Fluoroquinolones, Penicillins,... 0.02 -0.54 524

Specific antibiotics¶

'Antibiotic unknown type' = The surveyee doesn't know what antibiotic they took.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Rapamycin] 0.88 0.00 8
2 [Metronidazole] 0.39 -0.39 28
3 [Sulfonamides] 0.26 -0.32 19
4 [Clindamycin] 0.23 -0.64 22
5 [Antibiotic unknown type] 0.17 -0.48 48
6 [Tetracyclines] 0.16 -0.44 121
7 [Cephalosporins] 0.12 -0.56 16
8 [Macrolides] 0.00 -0.58 50
9 [Penicillins] -0.03 -0.51 121
10 [Other antibiotic] -0.22 -0.64 36
11 [Fluoroquinolones] -0.33 -0.75 52
12 [Aminoglycosides] -0.67 -1.00 3
13 [Nitrofurantoin] -0.88 -1.25 8

COVID-19 treatments¶

Surveyees may have answered in an acute COVID-19 context or outside of an acute COVID-19 context.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Favipiravir] 1.33 0.00 3
2 [Ivermectin] 0.91 -0.14 245
3 [Monoclonals] 0.88 -0.12 25
4 [Tollovid] 0.59 -0.09 22
5 [Plaquenil] 0.54 -0.31 83
6 [Paxlovid] 0.53 -0.23 123
7 [Melatonin] 0.50 -0.17 602
8 [TWC detox] 0.50 -0.10 20
9 [Vitamin D] 0.49 -0.04 1009
10 [Molnupiravir] 0.44 0.00 9
11 [Vedicinals9] 0.29 -0.33 21

Hormone and PSSD-related¶

Surveyees may have answered in an acute COVID-19 context or outside of an acute COVID-19 context.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [HCG] 0.67 0.00 3
2 [TRT] 0.57 -0.18 56
3 [St. John's Wort] 0.41 -0.23 61
4 [Ashwagandha] 0.29 -0.19 356
5 [Elavil, Doxepin, Pamelor, Clomipramine, Clomi... -0.24 -0.63 216
6 [Remeron, Seroquel, Wellbutrin] -0.25 -0.68 316
7 [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... -0.30 -0.74 553
8 [Cymbalta, Effexor] -0.39 -0.85 175

Nicotine, CBD, and psychedelic mushrooms¶

Surveyees were instructed to leave answers blank if they weren't comfortable answering questions about CBD (which may be illegal in their jurisdiction).

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Psychedelic mushrooms] 0.73 -0.22 112
2 [Patches] 0.63 -0.28 159
3 [CBD with THC] 0.39 -0.40 348
4 [CBD without THC] 0.39 -0.15 346
5 [Other nicotine] 0.38 -0.22 82
6 [Cigarettes] 0.05 -0.28 80
7 [Vaping] 0.04 -0.30 97

Chelation¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Other chelation] 0.85 -0.09 33
2 [EDTA] 0.56 -0.22 18
3 [Activated charcoal] 0.49 -0.09 107
4 [DTPA] -0.25 -0.25 4

POTS¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Water and salt] 1.02 -0.02 723
2 [Drinking water] 0.87 -0.00 411
3 [Guanfacine] 0.73 -0.36 56
4 [Compression garments] 0.73 -0.05 438
5 [Beta blockers] 0.69 -0.34 369
6 [Sleeping with head of bed elevated] 0.53 -0.08 336

Spike protein detox¶

https://worldcouncilforhealth.org/wp-content/uploads/2022/10/Spike-detox-folded-leaflet-17-10-22-LR20.pdf

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Ivermectin] 0.91 -0.14 245
2 [Magnesium] 0.75 -0.06 935
3 [Plaquenil] 0.54 -0.31 83
4 [NAC] 0.52 -0.10 551
5 [Quercetin] 0.52 -0.06 570
6 [TWC detox] 0.50 -0.10 20
7 [Nigella sativa oil] 0.50 -0.06 126
8 [Vitamin D] 0.49 -0.04 1009
9 [Nigella sativa capsules] 0.47 -0.02 111
10 [Curcumin] 0.46 -0.05 666
11 [Zinc] 0.43 -0.03 660
12 [Vitamin C] 0.42 -0.04 805
13 [Nigella sativa seed] 0.40 -0.04 25
14 [Augmented NAC] 0.36 -0.13 188
15 [Vedicinals9] 0.29 -0.33 21

Commercial products, urotherapy, chlorine dioxide (MMS)¶

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Avacen] 3.00 0.00 1
2 [Urotherapy] 1.50 0.00 4
3 [ASEA Redox] 1.18 -0.27 11
4 [Chlorine dioxide] 1.09 0.00 23
5 [Cardio Miracle] 0.90 0.00 10
6 [Root wellness] 0.75 -0.08 12
7 [Gupta program] 0.65 -0.07 57
8 [Kangen water] 0.56 0.00 9
9 [DNRS] 0.53 -0.11 36
10 [TWC detox] 0.50 -0.10 20
11 [Zeolite] 0.45 -0.07 82
12 [Augmented NAC] 0.36 -0.13 188
13 [Frequency wand] -0.09 -0.91 11
14 [Lightning process] -0.23 -0.77 13

Charts¶

These charts show how surveyees reported their experiences with particular treatments. If the treatment had very few data points, they are usually grouped together with other similar treatments to provide combined data.

Anti-depressants:¶

SSRIs, SNRIs, TCAs

WARNING: Some anti-depressants can lead to serious withdrawal issues and suicide. This survey data may not fully capture the risk of these types of drugs.

SSRIs (Selective Serotonin Reuptake Inhibitors)¶

Fluvoxamine (Luvox)¶

===Popularity stats===
LC                 3.8%   29/771 patients
PostVac            5.5%   24/440 patients
MECFS              4.0%   5/126 patients

SNRIs (Serotonin–Norepinephrine Reuptake Inhibitors)¶

Cymbalta (Duloxetine)¶

===Popularity stats===
LC                 6.0%   46/771 patients
PostVac            8.4%   37/440 patients
MECFS              13.5%   17/126 patients

Effexor (Venlafaxine)¶

===Popularity stats===
LC                 4.0%   31/771 patients
PostVac            6.1%   27/440 patients
MECFS              13.5%   17/126 patients

TCAs (Tricyclic Antidepressants)¶

  • Amitriptyline / Elavil
  • Doxepin / Sinequan, Quitaxon, Adapin, Triadapin, Aponal, and others
  • Nortriptyline / Pamelor
  • Clomipramine / Anafranil

Elavil (Amitriptyline)¶

===Popularity stats===
LC                 5.3%   41/771 patients
PostVac            9.1%   40/440 patients
MECFS              10.3%   13/126 patients

Doxepin (Sinequan, Quitaxon, Adapin, Triadapin, Aponal)¶

===Popularity stats===
LC                 4.2%   32/771 patients
PostVac            6.6%   29/440 patients
MECFS              4.0%   5/126 patients

Other anti-depressants and anti-psychotics¶

===Popularity stats===
LC                 6.5%   50/771 patients
PostVac            4.3%   19/440 patients
MECFS              5.6%   7/126 patients

===Popularity stats===
LC                 5.7%   44/771 patients
PostVac            11.1%   49/440 patients
MECFS              7.1%   9/126 patients

===Popularity stats===
LC                 12.3%   95/771 patients
PostVac            7.0%   31/440 patients
MECFS              9.5%   12/126 patients

Abilify (Aripiprazole)¶

===Popularity stats===
LC                 4.5%   35/771 patients
PostVac            1.4%   6/440 patients
MECFS              8.7%   11/126 patients

Tylenol, other NSAIDs, prescription blood thinners, (natural) anticoag¶

Tylenol (paracetamol)¶

===Popularity stats===
LC                 43.3%   334/771 patients
PostVac            39.1%   172/440 patients
MECFS              42.9%   54/126 patients

Aspirin (acetylsalicylic acid)¶

===Popularity stats===
LC                 41.0%   316/771 patients
PostVac            43.2%   190/440 patients
MECFS              31.0%   39/126 patients

Advil (ibuprofen)¶

===Popularity stats===
LC                 49.5%   382/771 patients
PostVac            45.2%   199/440 patients
MECFS              46.0%   58/126 patients

Other NSAID (Nonsteroidal anti-inflammatory drug)¶

===Popularity stats===
LC                 26.8%   207/771 patients
PostVac            31.4%   138/440 patients
MECFS              25.4%   32/126 patients

Prescription blood thinners¶

Heparin, Eliquis / Apixiban, Clopidogrel, Xarelto, Sulodexide

===Popularity stats===
LC                 1.9%   15/771 patients
PostVac            3.6%   16/440 patients
MECFS              2.4%   3/126 patients

===Popularity stats===
LC                 4.0%   31/771 patients
PostVac            5.2%   23/440 patients
MECFS              1.6%   2/126 patients

===Popularity stats===
LC                 3.4%   26/771 patients
PostVac            6.6%   29/440 patients
MECFS              3.2%   4/126 patients

Nattokinase¶

===Popularity stats===
LC                 35.0%   270/771 patients
PostVac            47.7%   210/440 patients
MECFS              19.8%   25/126 patients

Serrapeptase¶

===Popularity stats===
LC                 17.8%   137/771 patients
PostVac            22.3%   98/440 patients
MECFS              11.1%   14/126 patients

Lumbrokinase¶

===Popularity stats===
LC                 7.0%   54/771 patients
PostVac            10.5%   46/440 patients
MECFS              4.8%   6/126 patients

Hormone¶

HCG (Human chorionic gonadotropin)¶

===Popularity stats===
LC                 0.4%   3/771 patients
PostVac            0.0%   0/440 patients
MECFS              0.0%   0/126 patients

TRT (Testosterone replacement therapy, related to HRT / hormone replacement therapy)¶

===Popularity stats===
LC                 4.2%   32/771 patients
PostVac            4.1%   18/440 patients
MECFS              4.8%   6/126 patients

IVIG, SCIG, and other infusion-based treatment¶

IVIG (Intravenous Immunoglobulin)¶

===Popularity stats===
LC                 0.8%   6/771 patients
PostVac            3.6%   16/440 patients
MECFS              0.8%   1/126 patients

SCIG (subcutaneous immunoglobulin)¶

===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            0.7%   3/440 patients
MECFS              1.6%   2/126 patients

PLEX / TPE (therapeutic plasma exchange) / Plasmapheresis¶

Data on PLEX is also available from the Risk Factors Survey:

  • Survey results slide 22: http://sickandabandoned.com/wp-content/uploads/2023/06/SAA-Risk-Factors-Survey-FULL.pdf
  • 1 mild improvement, 1 significant worsening
===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            0.9%   4/440 patients
MECFS              0.0%   0/126 patients

HELP apheresis (heparin-induced extracorporeal low-density lipoprotein precipitation)¶

WARNING: There is one anecdote of a ME/CFS patient worsening after HELP apheresis which eventually resulted in their death. The survey data may not fully capture the risk of that treatment. See https://forum.sickandabandoned.com/t/paper-on-help-apheresis-makes-extraordinary-claims-about-patient-recovery-beate-jaeger-and-colleagues/179 
===Popularity stats===
LC                 0.8%   6/771 patients
PostVac            2.0%   9/440 patients
MECFS              0.0%   0/126 patients

Inuspheresis¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            0.9%   4/440 patients
MECFS              0.8%   1/126 patients

Immunoadsorption¶

===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            1.4%   6/440 patients
MECFS              0.0%   0/126 patients

IV ozone (intravenous ozone)¶

===Popularity stats===
LC                 1.9%   15/771 patients
PostVac            6.1%   27/440 patients
MECFS              8.7%   11/126 patients

SGB (Stellate ganglion block)¶

===Popularity stats===
LC                 3.1%   24/771 patients
PostVac            1.8%   8/440 patients
MECFS              1.6%   2/126 patients

Stem cells¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            1.4%   6/440 patients
MECFS              1.6%   2/126 patients

IV vitamins (intravenous vitamins) and IV vitamin C¶

===Popularity stats===
LC                 8.4%   65/771 patients
PostVac            14.5%   64/440 patients
MECFS              15.9%   20/126 patients

===Popularity stats===
LC                 4.8%   37/771 patients
PostVac            9.8%   43/440 patients
MECFS              10.3%   13/126 patients

EBOO (extracorporeal blood oxygenation and ozonation)¶

===Popularity stats===
LC                 0.9%   7/771 patients
PostVac            2.0%   9/440 patients
MECFS              0.8%   1/126 patients

Methylene blue¶

===Popularity stats===
LC                 2.2%   17/771 patients
PostVac            9.1%   40/440 patients
MECFS              5.6%   7/126 patients

HBOT (Hyperbaric Oxygen Therapy)¶

HBOT <=1.5 ATA, HBOT >1.5 ATA

===Popularity stats===
LC                 4.2%   32/771 patients
PostVac            7.3%   32/440 patients
MECFS              5.6%   7/126 patients

===Popularity stats===
LC                 4.7%   36/771 patients
PostVac            5.7%   25/440 patients
MECFS              6.3%   8/126 patients

Chelation¶

Activated charcoal¶

===Popularity stats===
LC                 6.1%   47/771 patients
PostVac            9.5%   42/440 patients
MECFS              14.3%   18/126 patients

EDTA (Ethylenediaminetetraacetic acid)¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            2.3%   10/440 patients
MECFS              3.2%   4/126 patients

DTPA (Diethylenetriamine pentaacetate)¶

===Popularity stats===
LC                 0.3%   2/771 patients
PostVac            0.5%   2/440 patients
MECFS              0.0%   0/126 patients

Other chelation¶

===Popularity stats===
LC                 1.0%   8/771 patients
PostVac            4.8%   21/440 patients
MECFS              3.2%   4/126 patients

POTS related treatments (non-pharmaceutical)¶

Compression garments (Compression garments / stockings)¶

===Popularity stats===
LC                 37.0%   285/771 patients
PostVac            26.1%   115/440 patients
MECFS              30.2%   38/126 patients

Water and salt (Increased intake of water and salt)¶

Note: surveyees may have misinterpreted the survey question ('Increased intake of water and salt'), use the data with caution. The higher popularity of this intervention suggests that people without POTS or dysautonomia answered this question and have a different interpretation as to what this intervention is.

===Popularity stats===
LC                 59.9%   462/771 patients
PostVac            46.1%   203/440 patients
MECFS              46.0%   58/126 patients

Drinking water - specifically "Drinking water before getting up in the morning"¶

===Popularity stats===
LC                 36.2%   279/771 patients
PostVac            22.7%   100/440 patients
MECFS              25.4%   32/126 patients

Sleeping with head of bed elevated - specifically "Sleeping with head of the bed elevated"¶

===Popularity stats===
LC                 25.2%   194/771 patients
PostVac            26.4%   116/440 patients
MECFS              20.6%   26/126 patients

Immune suppressing drugs¶

Corticosteroids (e.g. prednisone, methylprednisone, dexamethasone, etc.)¶

===Popularity stats===
LC                 20.6%   159/771 patients
PostVac            33.9%   149/440 patients
MECFS              15.9%   20/126 patients

Do people with lower severity respond better to corticosteroids?
Current severity 4 or less | Average (mean) score: 0.52 | n =  120
Current severity 5 or more | Average (mean) score: 0.44 | n =  165

Methotextrate¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            2.5%   11/440 patients
MECFS              0.0%   0/126 patients

Biologic, e.g. Humira, Enbrel, rituximab¶

===Popularity stats===
LC                 0.4%   3/771 patients
PostVac            2.3%   10/440 patients
MECFS              0.0%   0/126 patients

Other DMARD (Disease-Modifying Anti-Rheumatic Drug)¶

===Popularity stats===
LC                 0.9%   7/771 patients
PostVac            1.8%   8/440 patients
MECFS              0.0%   0/126 patients

Traditional anti-microbials¶

Anti-parasitic / Anti-helmintic¶

Ivermectin (Stromectol, Soolantra)¶

===Popularity stats===
LC                 11.8%   91/771 patients
PostVac            31.1%   137/440 patients
MECFS              13.5%   17/126 patients

Hydroxychloroquine (Plaquenil)¶

===Popularity stats===
LC                 3.9%   30/771 patients
PostVac            10.0%   44/440 patients
MECFS              7.1%   9/126 patients

Alinia (Nitazoxanide)¶

===Popularity stats===
LC                 0.3%   2/771 patients
PostVac            0.9%   4/440 patients
MECFS              1.6%   2/126 patients

Antibiotics, e.g. tetracyclines, macrolides, fluoroquinolones ('flox'), doxycycline, etc.¶

Warning: The 'flox' antibiotics or fluoroquinolones have support groups for people injured by them. Please do your research before taking them, especially when there are many alternatives available.

Rapamycin (Sirolimus)¶

===Popularity stats===
LC                 0.6%   5/771 patients
PostVac            0.0%   0/440 patients
MECFS              2.4%   3/126 patients

Antivirals - Aciclovir, Famiciclovir, Valtrex (valacyclovir), Valcyte (valganciclovir)¶

Valtrex (valacyclovir / valaciclovir)¶

===Popularity stats===
LC                 8.6%   66/771 patients
PostVac            7.3%   32/440 patients
MECFS              10.3%   13/126 patients

Valcyte (valganciclovir / valgancyclovir)¶

===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            0.2%   1/440 patients
MECFS              1.6%   2/126 patients

Aciclovir / acyclovir¶

===Popularity stats===
LC                 2.6%   20/771 patients
PostVac            4.3%   19/440 patients
MECFS              4.8%   6/126 patients

Famciclovir / Famvir / Famyclovir¶

===Popularity stats===
LC                 1.0%   8/771 patients
PostVac            0.7%   3/440 patients
MECFS              0.8%   1/126 patients

Anti-fungal: Fluconazole, Amphotericin, Canesten, Econazole, Ketoconazole, Miconazole, Nystatin, Terbinafine, Other antifungal¶

COVID-19 treatments¶

Paxlovid (Nirmatrelvir / ritonavir)¶

===Popularity stats===
LC                 12.8%   99/771 patients
PostVac            4.5%   20/440 patients
MECFS              3.2%   4/126 patients

Molnupiravir¶

===Popularity stats===
LC                 0.8%   6/771 patients
PostVac            0.5%   2/440 patients
MECFS              0.8%   1/126 patients

Monoclonal antibodies (monoclonals)¶

===Popularity stats===
LC                 1.2%   9/771 patients
PostVac            3.4%   15/440 patients
MECFS              0.8%   1/126 patients

Tollovid¶

===Popularity stats===
LC                 2.5%   19/771 patients
PostVac            0.5%   2/440 patients
MECFS              0.8%   1/126 patients

Vedicinals9¶

===Popularity stats===
LC                 1.6%   12/771 patients
PostVac            2.0%   9/440 patients
MECFS              0.0%   0/126 patients

Prescription drugs¶

Opiates, e.g. fentanyl, codeine¶

===Popularity stats===
LC                 7.9%   61/771 patients
PostVac            12.0%   53/440 patients
MECFS              10.3%   13/126 patients

Other pain relievers¶

===Popularity stats===
LC                 6.4%   49/771 patients
PostVac            11.4%   50/440 patients
MECFS              5.6%   7/126 patients

Gabapentin (Neurontin)¶

WARNING: Gabapentin can lead to suicide. The survey data may not fully capture the risk of these types of drugs. 
===Popularity stats===
LC                 14.5%   112/771 patients
PostVac            23.2%   102/440 patients
MECFS              15.9%   20/126 patients

Benzodiazepines e.g. Xanax, Ativan, clonazepam¶

WARNING: Benzodiazepines can lead to serious withdrawal issues and suicide. The survey data may not fully capture the risk of these types of drugs. 
===Popularity stats===
LC                 21.3%   164/771 patients
PostVac            25.2%   111/440 patients
MECFS              22.2%   28/126 patients

Ambien (zolpidem)¶

===Popularity stats===
LC                 4.9%   38/771 patients
PostVac            4.3%   19/440 patients
MECFS              14.3%   18/126 patients

Diazepam (Valium)¶

===Popularity stats===
LC                 8.3%   64/771 patients
PostVac            13.9%   61/440 patients
MECFS              10.3%   13/126 patients

Other muscle relaxers e.g. Baclofen, cyclobenzaprine¶

===Popularity stats===
LC                 8.4%   65/771 patients
PostVac            11.1%   49/440 patients
MECFS              11.1%   14/126 patients

Antiseizure (anti-seizure), e.g. topiramate / Topamax, lamotrigine / Lamictal¶

WARNING: Some anti-seizure drugs increase the risk of suicidal ideation. The survey data may not fully capture the risk of these types of drugs. 
===Popularity stats===
LC                 7.0%   54/771 patients
PostVac            7.7%   34/440 patients
MECFS              4.0%   5/126 patients

Beta blockers¶

===Popularity stats===
LC                 29.1%   224/771 patients
PostVac            26.8%   118/440 patients
MECFS              21.4%   27/126 patients

Guanfacine (Tenex)¶

===Popularity stats===
LC                 5.4%   42/771 patients
PostVac            2.3%   10/440 patients
MECFS              3.2%   4/126 patients

Mestinon (Pyridostigmine)¶

===Popularity stats===
LC                 3.8%   29/771 patients
PostVac            3.4%   15/440 patients
MECFS              7.9%   10/126 patients

Montelukast (Singulair)¶

===Popularity stats===
LC                 8.8%   68/771 patients
PostVac            8.0%   35/440 patients
MECFS              4.8%   6/126 patients

Colchicine¶

===Popularity stats===
LC                 3.0%   23/771 patients
PostVac            6.4%   28/440 patients
MECFS              2.4%   3/126 patients

Metformin¶

===Popularity stats===
LC                 6.5%   50/771 patients
PostVac            4.3%   19/440 patients
MECFS              6.3%   8/126 patients

Statins (including red yeast rice)¶

Maraviroc (Selzentry / Celsentri)¶

===Popularity stats===
LC                 1.8%   14/771 patients
PostVac            2.5%   11/440 patients
MECFS              0.8%   1/126 patients

Anti-histamines¶

Acrivastine (Benadryl Allergy Relief in the UK)¶

===Popularity stats===
LC                 10.1%   78/771 patients
PostVac            10.0%   44/440 patients
MECFS              5.6%   7/126 patients

Cetirizine (Zyrtec)¶

===Popularity stats===
LC                 37.4%   288/771 patients
PostVac            29.1%   128/440 patients
MECFS              23.8%   30/126 patients

Diphenhydramine / Benadryl¶

===Popularity stats===
LC                 21.3%   164/771 patients
PostVac            15.7%   69/440 patients
MECFS              10.3%   13/126 patients

Famotidine (Pepcid)¶

===Popularity stats===
LC                 31.9%   246/771 patients
PostVac            30.0%   132/440 patients
MECFS              15.1%   19/126 patients

Fexofenadine (Allegra)¶

===Popularity stats===
LC                 19.1%   147/771 patients
PostVac            12.5%   55/440 patients
MECFS              12.7%   16/126 patients

Loratadine (Claritin)¶

===Popularity stats===
LC                 29.8%   230/771 patients
PostVac            24.5%   108/440 patients
MECFS              14.3%   18/126 patients

Ketotifen (Zaditor)¶

===Popularity stats===
LC                 4.2%   32/771 patients
PostVac            5.0%   22/440 patients
MECFS              6.3%   8/126 patients

Levocetirizine (Xyzal)¶

===Popularity stats===
LC                 5.6%   43/771 patients
PostVac            4.5%   20/440 patients
MECFS              4.0%   5/126 patients

DAO enzymes (Diamine oxidase enzymes)¶

===Popularity stats===
LC                 10.4%   80/771 patients
PostVac            9.3%   41/440 patients
MECFS              8.7%   11/126 patients

Other anti-histamines¶

Note: Some anti-histamine drugs (e.g. Doxepin, Seroquel) are listed under anti-depressants above.

Desloratadine (Clarinex)¶

===Popularity stats===
LC                 3.1%   24/771 patients
PostVac            4.5%   20/440 patients
MECFS              2.4%   3/126 patients

Cromolyn / Cromoglicic acid¶

===Popularity stats===
LC                 3.9%   30/771 patients
PostVac            3.9%   17/440 patients
MECFS              7.1%   9/126 patients

LDN / Low dose naltrexone¶

===Popularity stats===
LC                 26.5%   204/771 patients
PostVac            27.0%   119/440 patients
MECFS              27.0%   34/126 patients

Other anti-histamines e.g. Hydroxyzine, Bilastine, etc.¶

Supplements and over-the-counter drugs¶

Nigella sativa oil. The nigella sative plant is used to produce 'black seed oil'¶

This survey had three categories for the nigella sativa plant: oil, capsules (e.g. gelcaps, vegcaps), and the seed of the plant.

===Popularity stats===
LC                 6.4%   49/771 patients
PostVac            15.2%   67/440 patients
MECFS              7.9%   10/126 patients

===Popularity stats===
LC                 5.4%   42/771 patients
PostVac            14.1%   62/440 patients
MECFS              5.6%   7/126 patients

===Popularity stats===
LC                 1.7%   13/771 patients
PostVac            2.5%   11/440 patients
MECFS              0.8%   1/126 patients

ALA / Alpha-lipoic acid¶

===Popularity stats===
LC                 16.9%   130/771 patients
PostVac            26.6%   117/440 patients
MECFS              24.6%   31/126 patients

Ashwagandha¶

===Popularity stats===
LC                 26.2%   202/771 patients
PostVac            28.4%   125/440 patients
MECFS              23.0%   29/126 patients

Biocidin¶

===Popularity stats===
LC                 1.7%   13/771 patients
PostVac            2.3%   10/440 patients
MECFS              0.8%   1/126 patients

Cat's claw (Cats claw, uña de gato, uncaria tomentosa)¶

===Popularity stats===
LC                 4.5%   35/771 patients
PostVac            5.9%   26/440 patients
MECFS              8.7%   11/126 patients

CBD without THC | CBD (cannabidiol) without THC¶

===Popularity stats===
LC                 25.0%   193/771 patients
PostVac            26.4%   116/440 patients
MECFS              29.4%   37/126 patients

CBD with THC | CBD (cannabidiol) with THC¶

===Popularity stats===
LC                 24.9%   192/771 patients
PostVac            29.1%   128/440 patients
MECFS              22.2%   28/126 patients

CoQ10 (Co-enzyme q10 / Coenzyme Q10)¶

===Popularity stats===
LC                 45.3%   349/771 patients
PostVac            40.9%   180/440 patients
MECFS              62.7%   79/126 patients

Curcumin¶

===Popularity stats===
LC                 47.6%   367/771 patients
PostVac            55.7%   245/440 patients
MECFS              42.9%   54/126 patients

Dandelion¶

===Popularity stats===
LC                 13.7%   106/771 patients
PostVac            19.3%   85/440 patients
MECFS              15.9%   20/126 patients

Fish oil etc. | Fish oil, krill oil, omega 3/6¶

===Popularity stats===
LC                 47.9%   369/771 patients
PostVac            49.5%   218/440 patients
MECFS              56.3%   71/126 patients

Glutathione¶

===Popularity stats===
LC                 18.2%   140/771 patients
PostVac            32.7%   144/440 patients
MECFS              24.6%   31/126 patients

Lavender¶

===Popularity stats===
LC                 5.4%   42/771 patients
PostVac            10.9%   48/440 patients
MECFS              12.7%   16/126 patients

Lion's mane¶

===Popularity stats===
LC                 18.4%   142/771 patients
PostVac            18.6%   82/440 patients
MECFS              13.5%   17/126 patients

Melatonin¶

===Popularity stats===
LC                 44.7%   345/771 patients
PostVac            47.0%   207/440 patients
MECFS              39.7%   50/126 patients

Monolaurin (Lauricidin)¶

===Popularity stats===
LC                 4.0%   31/771 patients
PostVac            7.5%   33/440 patients
MECFS              6.3%   8/126 patients

NAC (N-Acetyl Cysteine)¶

===Popularity stats===
LC                 38.8%   299/771 patients
PostVac            48.4%   213/440 patients
MECFS              31.0%   39/126 patients

Augmented NAC (Augmented NAC, Quantum NAC)¶

===Popularity stats===
LC                 11.5%   89/771 patients
PostVac            18.4%   81/440 patients
MECFS              14.3%   18/126 patients

NADH (Nicotinamide adenine dinucleotide)¶

===Popularity stats===
LC                 16.5%   127/771 patients
PostVac            16.4%   72/440 patients
MECFS              24.6%   31/126 patients

Oil of oregano¶

===Popularity stats===
LC                 9.3%   72/771 patients
PostVac            11.6%   51/440 patients
MECFS              12.7%   16/126 patients

Pine needle tea¶

===Popularity stats===
LC                 3.0%   23/771 patients
PostVac            16.4%   72/440 patients
MECFS              4.8%   6/126 patients

Probiotics prebiotics¶

===Popularity stats===
LC                 53.7%   414/771 patients
PostVac            46.4%   204/440 patients
MECFS              50.8%   64/126 patients

Quercetin¶

===Popularity stats===
LC                 39.3%   303/771 patients
PostVac            52.3%   230/440 patients
MECFS              29.4%   37/126 patients

Resveratrol¶

===Popularity stats===
LC                 16.7%   129/771 patients
PostVac            27.3%   120/440 patients
MECFS              13.5%   17/126 patients

Spermidine¶

===Popularity stats===
LC                 2.6%   20/771 patients
PostVac            9.5%   42/440 patients
MECFS              0.0%   0/126 patients

St. John's Wort (SJW)¶

===Popularity stats===
LC                 3.4%   26/771 patients
PostVac            5.5%   24/440 patients
MECFS              8.7%   11/126 patients

B vitamins, e.g. B6, B12¶

===Popularity stats===
LC                 69.4%   535/771 patients
PostVac            64.5%   284/440 patients
MECFS              73.0%   92/126 patients

Vitamin C¶

*Intravenous vitamin C is listed elsewhere as "IV vitamin C".

===Popularity stats===
LC                 59.9%   462/771 patients
PostVac            60.0%   264/440 patients
MECFS              62.7%   79/126 patients

Vitamin D¶

===Popularity stats===
LC                 75.1%   579/771 patients
PostVac            75.2%   331/440 patients
MECFS              78.6%   99/126 patients

K vitamins¶

===Popularity stats===
LC                 22.6%   174/771 patients
PostVac            30.7%   135/440 patients
MECFS              25.4%   32/126 patients

Multivitamin / Multi-vitamin¶

===Popularity stats===
LC                 43.7%   337/771 patients
PostVac            40.5%   178/440 patients
MECFS              41.3%   52/126 patients

Magnesium¶

===Popularity stats===
LC                 68.7%   530/771 patients
PostVac            70.2%   309/440 patients
MECFS              76.2%   96/126 patients

Zinc¶

===Popularity stats===
LC                 47.3%   365/771 patients
PostVac            53.2%   234/440 patients
MECFS              48.4%   61/126 patients

Recreational drugs¶

CBD is found above, not here.

Vaping (Nicotine - Vaping)¶

===Popularity stats===
LC                 8.0%   62/771 patients
PostVac            6.4%   28/440 patients
MECFS              5.6%   7/126 patients

Cigarettes (Nicotine - Cigarettes)¶

===Popularity stats===
LC                 5.2%   40/771 patients
PostVac            8.4%   37/440 patients
MECFS              2.4%   3/126 patients

Patches (Nicotine - Patches)¶

===Popularity stats===
LC                 12.7%   98/771 patients
PostVac            11.4%   50/440 patients
MECFS              8.7%   11/126 patients

Other nicotine¶

===Popularity stats===
LC                 6.2%   48/771 patients
PostVac            6.8%   30/440 patients
MECFS              3.2%   4/126 patients

Psychedelic mushrooms¶

===Popularity stats===
LC                 9.5%   73/771 patients
PostVac            6.1%   27/440 patients
MECFS              9.5%   12/126 patients

Diets¶

Low histamine diet¶

===Popularity stats===
LC                 40.7%   314/771 patients
PostVac            37.0%   163/440 patients
MECFS              31.0%   39/126 patients

Glutenfree diet / Gluten-free diet¶

===Popularity stats===
LC                 35.4%   273/771 patients
PostVac            35.5%   156/440 patients
MECFS              50.0%   63/126 patients

Plant based diet | Vegetarian or (whole foods) plant-based diet¶

===Popularity stats===
LC                 20.1%   155/771 patients
PostVac            16.1%   71/440 patients
MECFS              24.6%   31/126 patients

Vegan diet¶

===Popularity stats===
LC                 9.6%   74/771 patients
PostVac            8.2%   36/440 patients
MECFS              15.1%   19/126 patients

Autoimmune protocol diet (AIP diet)¶

===Popularity stats===
LC                 5.1%   39/771 patients
PostVac            5.5%   24/440 patients
MECFS              5.6%   7/126 patients

Wahls protocol diet¶

===Popularity stats===
LC                 0.9%   7/771 patients
PostVac            2.3%   10/440 patients
MECFS              1.6%   2/126 patients

Carnivore diet or meat-only diet¶

===Popularity stats===
LC                 6.5%   50/771 patients
PostVac            8.6%   38/440 patients
MECFS              4.8%   6/126 patients

Keto diet / ketogenic diet¶

===Popularity stats===
LC                 10.8%   83/771 patients
PostVac            10.0%   44/440 patients
MECFS              19.0%   24/126 patients

Anti inflammatory diet / Anti-inflammatory diet¶

===Popularity stats===
LC                 15.7%   121/771 patients
PostVac            15.9%   70/440 patients
MECFS              14.3%   18/126 patients

Other diet¶

===Popularity stats===
LC                 4.8%   37/771 patients
PostVac            10.2%   45/440 patients
MECFS              10.3%   13/126 patients

Fasting¶

OMAD / One meal a day¶

===Popularity stats===
LC                 18.4%   142/771 patients
PostVac            25.7%   113/440 patients
MECFS              16.7%   21/126 patients

Intermittent fasting, more than 1 meal a day¶

===Popularity stats===
LC                 35.0%   270/771 patients
PostVac            44.1%   194/440 patients
MECFS              42.9%   54/126 patients

24-48 hour fasting¶

===Popularity stats===
LC                 14.8%   114/771 patients
PostVac            18.0%   79/440 patients
MECFS              11.9%   15/126 patients

Multiday wet fasting | >48 hour fasting - water allowed¶

===Popularity stats===
LC                 8.7%   67/771 patients
PostVac            8.9%   39/440 patients
MECFS              5.6%   7/126 patients

Multiday dry fasting | >48 hour fasting - water not allowed¶

===Popularity stats===
LC                 2.6%   20/771 patients
PostVac            3.4%   15/440 patients
MECFS              3.2%   4/126 patients

Multiday juice fasting | >48 hour fasting - teas, cleanses, juices, etc. allowed¶

===Popularity stats===
LC                 4.3%   33/771 patients
PostVac            5.0%   22/440 patients
MECFS              4.0%   5/126 patients

Exercise or pacing strategies¶

Intense exercise (with sweating)¶

===Popularity stats===
LC                 50.5%   389/771 patients
PostVac            44.3%   195/440 patients
MECFS              50.0%   63/126 patients

Light exercise (no sweating)¶

===Popularity stats===
LC                 65.4%   504/771 patients
PostVac            60.0%   264/440 patients
MECFS              63.5%   80/126 patients

Graded exercise therapy¶

===Popularity stats===
LC                 28.4%   219/771 patients
PostVac            16.4%   72/440 patients
MECFS              34.9%   44/126 patients

Avoiding exercise¶

===Popularity stats===
LC                 68.2%   526/771 patients
PostVac            53.6%   236/440 patients
MECFS              72.2%   91/126 patients

Pacing strategies, e.g. spoon theory¶

===Popularity stats===
LC                 63.8%   492/771 patients
PostVac            34.8%   153/440 patients
MECFS              70.6%   89/126 patients

Alternative treatments, mental treatments, other modalities¶

CBT / Cognitive Behavioral Therapy¶

===Popularity stats===
LC                 32.3%   249/771 patients
PostVac            25.0%   110/440 patients
MECFS              36.5%   46/126 patients

Prayer¶

===Popularity stats===
LC                 24.8%   191/771 patients
PostVac            30.7%   135/440 patients
MECFS              33.3%   42/126 patients

Meditation¶

===Popularity stats===
LC                 56.0%   432/771 patients
PostVac            43.4%   191/440 patients
MECFS              67.5%   85/126 patients

Eye Movement Desensitization and Reprocessing (EMDR)¶

===Popularity stats===
LC                 10.8%   83/771 patients
PostVac            10.2%   45/440 patients
MECFS              13.5%   17/126 patients

DNRS (Dynamic Neural Retraining System™)¶

===Popularity stats===
LC                 2.7%   21/771 patients
PostVac            1.1%   5/440 patients
MECFS              7.9%   10/126 patients

Gupta program¶

===Popularity stats===
LC                 4.2%   32/771 patients
PostVac            2.5%   11/440 patients
MECFS              11.1%   14/126 patients

Lightning process¶

===Popularity stats===
LC                 1.2%   9/771 patients
PostVac            0.5%   2/440 patients
MECFS              1.6%   2/126 patients

Wim Hof without cold (Wim Hof, no cold showers or cold water)¶

===Popularity stats===
LC                 8.8%   68/771 patients
PostVac            6.8%   30/440 patients
MECFS              4.8%   6/126 patients

Wim Hof with cold (Wim Hof, with cold showers or cold water)¶

===Popularity stats===
LC                 15.0%   116/771 patients
PostVac            11.8%   52/440 patients
MECFS              13.5%   17/126 patients

Other brain retraining¶

===Popularity stats===
LC                 12.2%   94/771 patients
PostVac            10.0%   44/440 patients
MECFS              27.8%   35/126 patients

Acupuncture¶

===Popularity stats===
LC                 26.3%   203/771 patients
PostVac            34.3%   151/440 patients
MECFS              37.3%   47/126 patients

Chiropractic¶

===Popularity stats===
LC                 11.0%   85/771 patients
PostVac            23.0%   101/440 patients
MECFS              20.6%   26/126 patients

Dry cupping¶

===Popularity stats===
LC                 7.0%   54/771 patients
PostVac            10.2%   45/440 patients
MECFS              7.9%   10/126 patients

Wet cupping¶

===Popularity stats===
LC                 0.8%   6/771 patients
PostVac            1.1%   5/440 patients
MECFS              1.6%   2/126 patients

Other TCM¶

===Popularity stats===
LC                 6.1%   47/771 patients
PostVac            8.2%   36/440 patients
MECFS              12.7%   16/126 patients

Homeopathy¶

===Popularity stats===
LC                 6.7%   52/771 patients
PostVac            14.1%   62/440 patients
MECFS              24.6%   31/126 patients

Osteopathy¶

===Popularity stats===
LC                 5.6%   43/771 patients
PostVac            9.8%   43/440 patients
MECFS              15.1%   19/126 patients

Rife (Rife machine)¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            2.3%   10/440 patients
MECFS              7.9%   10/126 patients

Quantum healing¶

===Popularity stats===
LC                 1.4%   11/771 patients
PostVac            3.0%   13/440 patients
MECFS              2.4%   3/126 patients

NIBS (Non-invasive Brain Stimulation)¶

===Popularity stats===
LC                 2.3%   18/771 patients
PostVac            2.5%   11/440 patients
MECFS              1.6%   2/126 patients

VNS (Vagus Nerve Stimulation)¶

===Popularity stats===
LC                 27.0%   208/771 patients
PostVac            20.9%   92/440 patients
MECFS              25.4%   32/126 patients

Photobiomodulation (PBM)¶

===Popularity stats===
LC                 1.7%   13/771 patients
PostVac            2.0%   9/440 patients
MECFS              1.6%   2/126 patients

Bentonite clay¶

===Popularity stats===
LC                 2.7%   21/771 patients
PostVac            8.9%   39/440 patients
MECFS              4.8%   6/126 patients

Chlorine dioxide (MMS, Mineral Miracle Solution)¶

===Popularity stats===
LC                 0.5%   4/771 patients
PostVac            3.2%   14/440 patients
MECFS              4.0%   5/126 patients

Urotherapy (Urine therapy)¶

===Popularity stats===
LC                 0.0%   0/771 patients
PostVac            0.7%   3/440 patients
MECFS              0.8%   1/126 patients

Zeolite¶

===Popularity stats===
LC                 3.4%   26/771 patients
PostVac            10.5%   46/440 patients
MECFS              7.9%   10/126 patients

ASEA Redox¶

===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            2.3%   10/440 patients
MECFS              0.0%   0/126 patients

Avacen (Avacen machine)¶

https://avacen.com/

===Popularity stats===
LC                 0.0%   0/771 patients
PostVac            0.2%   1/440 patients
MECFS              0.0%   0/126 patients

Cardio Miracle supplement¶

===Popularity stats===
LC                 0.4%   3/771 patients
PostVac            1.6%   7/440 patients
MECFS              0.0%   0/126 patients

Kangen water (alkaline water)¶

===Popularity stats===
LC                 0.8%   6/771 patients
PostVac            0.5%   2/440 patients
MECFS              0.8%   1/126 patients

Frequency wand (Prife iTeraCare frequency wand)¶

This data may be biased as many users blocked the survey recruiter on Facebook and/or participate in the multi-level marketing scheme that sells this product.

===Popularity stats===
LC                 0.1%   1/771 patients
PostVac            2.0%   9/440 patients
MECFS              0.8%   1/126 patients

Root wellness clean slate¶

===Popularity stats===
LC                 0.3%   2/771 patients
PostVac            2.0%   9/440 patients
MECFS              0.8%   1/126 patients

TWC detox (The Wellness Company spike protein detox)¶

===Popularity stats===
LC                 0.9%   7/771 patients
PostVac            2.7%   12/440 patients
MECFS              0.8%   1/126 patients

Ayurveda¶

===Popularity stats===
LC                 1.9%   15/771 patients
PostVac            2.3%   10/440 patients
MECFS              5.6%   7/126 patients

Traditional sauna¶

*Note: Some people lose their ability to tolerate heat (e.g. hot showers) after they develop chronic illness. What works for somebody else may not be appropriate for you.

===Popularity stats===
LC                 7.1%   55/771 patients
PostVac            9.8%   43/440 patients
MECFS              15.9%   20/126 patients

Infrared sauna¶

===Popularity stats===
LC                 10.2%   79/771 patients
PostVac            15.5%   68/440 patients
MECFS              17.5%   22/126 patients

Red light therapy¶

===Popularity stats===
LC                 12.1%   93/771 patients
PostVac            19.3%   85/440 patients
MECFS              23.0%   29/126 patients

Time - The passage of time¶

Around 85% engaged with this question while others did not. It is possible that the question is interpreted differently between surveyees.

===Popularity stats===
LC                 89.4%   689/771 patients
PostVac            86.8%   382/440 patients
MECFS              80.2%   101/126 patients

Demographics¶

Number of treatments tried¶

Number of treatments tried versus biological sex:
Female:  31.5
Male:    28.6

Age¶

Age distribution in Long COVID surveyees

Age distribution in COVID vaccine injured surveyees

Biological sex¶

65.4% of surveyees indicated that they were biologically female.
34.2% of surveyees indicated that they were biologically male.
0.5% of surveyees indicated that they were biologically other (e.g. intersex).

Walking ability¶

3.0    173
0.0     95
2.0     82
1.0     65
Name: Employment severity current, dtype: int64

Ability to work¶

The severity scale is as follows:

  • 3 = 'Not able to work my last job at all.'
  • 2 = 'Able to work my last job only part-time.'
  • 1 = 'Able to work my last job full-time, but only with accommodations (e.g. working at home/remotely).'
  • 0 = 'Able to work my last job full-time.'

Symptoms, rated on a scale of 0 to 4 (Doesn't bother me to worst suffering imaginable)¶

  • -1 = Don't have that symptom. That corresponds to the first column.
  • Otherwise, symptoms are rated on a scale of 0-4. The column on the right consists of those who reported the highest severity possible.

Surveyees reported 'peak' severity from the worst month of illness.

Recruitment - referrer source¶

Most but not all participants were asked:

How did you find out about this survey? e.g. r/CovidLongHaulers, a specific Twitter account, etc.
If there is a pre-filled answer below that is correct, please do not change it.

Most the early participants were not asked about how they found out about the survey. The vast majority of them came from vaccine injury Facebook groups.

Note: "Reddit Long COVID" refers to Long COVID-related groups (mainly r/CovidLongHaulers) on the Reddit platform.

Referrer
Reddit Long COVID 631
Facebook C19 Vax Adverse Reactions 187
Youtube Raelan Agle 126
Facebook Long COVID 94
Reddit Post Vax 91
Facebook Canadian Vccn 52
Twitter 38
SickAndAbandoned.com + LongHaulWiki.com 36
Unknown 33
Discord 13
Health Rising forums 11
Word of mouth 9
Whatsapp 4
Reddit r/LongHaulersRecovery 4
Instagram 3
Facebook 2
Facebook VASE family 1
Reddit PSSD 1
Youtube Unknown 1

Please note that the recruitment strategy for this survey was quite different than previous surveys such as the Risk Factors Survey. (Data on the Risk Factors survey's recruitment can be found on slide 68 here: http://sickandabandoned.com/wp-content/uploads/2023/06/SAA-Risk-Factors-Survey-FULL.pdf )

This survey did not have participants from the two largest vaccine injured Facebook groups.

Sound and light sensitivity analyses¶

"No light sensitivity" = surveyee answered "None of the above". They may actually have light sensitivity but they did not select any of the avoidance behaviours in the checkboxes above.

The tables below show the percentage of each group that selected the checkbox.

The general trend is that avoidance behaviours increased with higher severity of the symptom; however, not all surveyees with the highest reported severity engaged in all of the avoidance behaviours.

Sunglasses Avoided outdoors Avoided bright environments No light sensitivity Earpro Avoided loud environments No sound sensitivity
Peak sound sensitivity
-1.0 0.076577 0.081081 0.121622 0.819820 0.036036 0.072072 0.900901
0.0 0.082192 0.232877 0.356164 0.589041 0.095890 0.219178 0.739726
1.0 0.209402 0.286325 0.521368 0.393162 0.306383 0.612766 0.293617
2.0 0.205993 0.367041 0.591760 0.329588 0.434944 0.762082 0.159851
3.0 0.301639 0.488525 0.724590 0.209836 0.594771 0.872549 0.055556
4.0 0.467662 0.676617 0.800995 0.104478 0.712871 0.900990 0.019802
Sunglasses Avoided outdoors Avoided bright environments No light sensitivity Earpro Avoided loud environments No sound sensitivity
Peak light sensitivity
-1.0 0.021008 0.033613 0.042017 0.928571 0.125523 0.238494 0.715481
0.0 0.056604 0.094340 0.169811 0.773585 0.226415 0.396226 0.509434
1.0 0.128205 0.273504 0.474359 0.418803 0.365957 0.612766 0.285106
2.0 0.218638 0.419355 0.691756 0.222222 0.434164 0.740214 0.206406
3.0 0.396226 0.581132 0.845283 0.079245 0.533835 0.827068 0.116541
4.0 0.593220 0.728814 0.881356 0.033898 0.700565 0.875706 0.045198

Using current sensivity versus peak sensitivity

Sunglasses Avoided outdoors Avoided bright environments No light sensitivity Earpro Avoided loud environments No sound sensitivity
Current sound sensitivity
-1.0 0.115265 0.155763 0.246106 0.682243 0.100000 0.218750 0.762500
0.0 0.218009 0.303318 0.535545 0.379147 0.319249 0.624413 0.281690
1.0 0.239394 0.409091 0.630303 0.309091 0.478788 0.775758 0.124242
2.0 0.343891 0.579186 0.733032 0.190045 0.602679 0.857143 0.075893
3.0 0.387597 0.519380 0.744186 0.178295 0.713178 0.875969 0.054264
4.0 0.411765 0.735294 0.823529 0.058824 0.676471 0.911765 0.000000
Sunglasses Avoided outdoors Avoided bright environments No light sensitivity Earpro Avoided loud environments No sound sensitivity
Current light sensitivity
-1.0 0.056657 0.118980 0.155807 0.796034 0.184136 0.342776 0.609065
0.0 0.165217 0.269565 0.508696 0.413043 0.390558 0.669528 0.257511
1.0 0.284345 0.460064 0.696486 0.194888 0.453674 0.718850 0.194888
2.0 0.407960 0.592040 0.825871 0.119403 0.559406 0.831683 0.108911
3.0 0.500000 0.657407 0.870370 0.055556 0.638889 0.824074 0.092593
4.0 0.513514 0.783784 0.891892 0.027027 0.675676 0.864865 0.054054 
Second column is peak light sensitivity.  There is a strong correlation between sound and light sensitivity.

Peak sound sensitivity
-1.0   -0.424779
 0.0    0.600000
 1.0    1.051282
 2.0    1.670370
 3.0    2.444079
 4.0    3.360000
Name: Peak light sensitivity, dtype: float64
-1 = do not have this symptom.  0 = minimal suffering.  4 = worst suffering imaginable

Symptoms versus treatment responses¶

The survey asked respondents to rate their symptoms on a Likert scale.

  • 0 = Symptoms do not bother me
  • 4 = Worst suffering imaginable

These analyses look at possible connections between symptoms and treatment responses.

Food intolerances¶

Those with severe food intolerances are more likely to report significant improvement from a low-histamine or gluten-free diet.

Food intolerances 2 or less | Average (mean) score: 0.92 | n =  226
Food intolerances 3-4 | Average (mean) score: 1.57 | n =  288

Food intolerances 2 or less | Average (mean) score: 0.85 | n =  234
Food intolerances 3-4 | Average (mean) score: 1.52 | n =  254

Food intolerances versus anti-histamines

Food intolerances 2 or less | Average (mean) score: 0.58 | n =  253
Food intolerances 3-4 | Average (mean) score: 0.76 | n =  187

It is thought that DAO enzymes will benefit those with a strong histamine intolerance. However, reported outcomes do not seem to correlate heavily with self-reported food intolerance.

Food intolerances 2 or less | Average (mean) score: 0.51 | n =  47
Food intolerances 3-4 | Average (mean) score: 0.61 | n =  84

Those with the most severe food intolerances may respond differently to benzodiazepines, a drug often prescribed for Mast Cell Activation Syndrome (MCAS). Food intolerances are associated with MCAS.

Food intolerances 2 or less | Average (mean) score: 1.11 | n =  183
Food intolerances 3-4 | Average (mean) score: 1.0 | n =  114

Food intolerances versus low-dose naltrexone (LDN)

Food intolerances 2 or less | Average (mean) score: 0.8 | n =  222
Food intolerances 3-4 | Average (mean) score: 0.48 | n =  133

HBOT >1.5 ATA versus food intolerances. Note: low sample size.

Food intolerances 2 or less | Average (mean) score: 1.14 | n =  44
Food intolerances 3-4 | Average (mean) score: 1.44 | n =  25

Food intolerances versus OMAD

Food intolerances 2 or less | Average (mean) score: 0.29 | n =  153
Food intolerances 3-4 | Average (mean) score: 0.6 | n =  121

Food intolerances versus prescription blood thinners

Blood thinners versus blood clotting, bleeding disorders¶

Do those without blood clotting/bleeding disorders report better outcomes from blood thinning drugs?!

No clotting disorder | Average (mean) score: 0.17 | n =  53
Reported clotting disorder | Average (mean) score: 1.05 | n =  111

No bleeding disorder | Average (mean) score: 0.61 | n =  109
Reported bleeding disorder | Average (mean) score: 0.95 | n =  56

Pain versus pain drugs (opiates, gabapentin, other pain relievers)¶

Peak pain 2 or lower | Average (mean) score: 0.95 | n =  38
Peak pain 3 or higher | Average (mean) score: 0.94 | n =  88

Peak pain 2 or lower | Average (mean) score: 0.22 | n =  72
Peak pain 3 or higher | Average (mean) score: -0.03 | n =  159

Peak pain 2 or lower | Average (mean) score: 1.11 | n =  28
Peak pain 3 or higher | Average (mean) score: 0.51 | n =  78

Depression¶

Those who reported the most severe depression in their worst month of illness tended to report a higher rate of significant improvement.

No depression | Average (mean) score: -0.05 | n =  88
Peak depression 0-2 | Average (mean) score: -0.21 | n =  482
Peak depression 3-4 | Average (mean) score: -0.39 | n =  670

"Brain fog", memory problems, or cognitive difficulties.¶

SSRIs may be slightly more effective in those who report the most severe brain fog, memory problems, or cognitive difficulties???

However, SSRIs were among the lowest-rated treatments in this survey.

No cognitive difficulties | Average (mean) score: -0.56 | n =  18
Cognitive difficulties 0-3 | Average (mean) score: -0.35 | n =  349
Cognitive difficulties 4 | Average (mean) score: -0.2 | n =  184

No cognitive difficulties | Average (mean) score: 0.12 | n =  43
Cognitive difficulties 0-3 | Average (mean) score: -0.3 | n =  791
Cognitive difficulties 4 | Average (mean) score: -0.34 | n =  415

No cognitive difficulties | Average (mean) score: 1.0 | n =  10
Cognitive difficulties 0-3 | Average (mean) score: 1.0 | n =  157
Cognitive difficulties 4 | Average (mean) score: 0.71 | n =  77

Sleep issues¶

Benzodiazepines are sometimes prescribed for sleep issues.

(Ambien is also prescribed but there is too little data to perform a useful analysis.)

Sleep issues 3 or less | Average (mean) score: 1.09 | n =  185
Sleep issues 4 | Average (mean) score: 1.03 | n =  115

Beta blockers¶

No POTS or feeling faint when standing up | Average (mean) score: 0.67 | n =  39
POTS 0-3 | Average (mean) score: 0.74 | n =  209
POTS 4 | Average (mean) score: 0.6 | n =  117

POTS treatments¶

Compression garments / stockings

Drinking water before getting up in the morning

Sleeping with head of bed elevated

Increased intake of water and salt (Water and salt). *Note: surveyees may have misinterpreted this 'treatment', use caution when interpreting data.

Severity analysis¶

The severity score is the combination of the following:

  1. Ability to walk (0 to 2).
  • Only able to walk for less than 1 minute --> 2
  • Only able to walk for 1-4 minutes --> 1
  • Able to walk for 5 or more minutes --> 0
  1. Ability to work last job (0 to 3)
  • Unable to work --> 3
  • Only able to work part-time --> 2
  • Able to work full-time but only with accomodations --> 1
  • Able to work full-time --> 0
  1. Highest self-reported suffering on any symptom (-1 to 4)
  • 0 = doesn't bother me, 4 = worst suffering imaginable --> 0-4
  • -1 = don't have (any) symptoms

The combined score can range from -1 to 9.

Treatment outcomes based on change in severity score from worst month of illness to past 30 days¶

High recovery = An improvement of 2.0 or more

Low recovery = An improvement of 1.0 or less (includes worsening)

HBOT may be an outlier as there is a large difference between the high and low recovery groups.

Are patients not recovering because they didn't try the right treatments?¶

The chart below compares those with high levels of recovery versus those who little or no recovery. For the most part, both groups have tried the same treatments.

Among those who have fully or almost fully recovered, treatment response varies widely¶

The treatments below were chosen because surveyees had very different experiences with those treatments.

Severity demographics¶

Percentage with current symptom suffering rated 'worst suffering imaginable':  22.400000000000002 %   | 283 out of 1263
Percentage who cannot currently walk more than 1 minute:  5.1 %   | 65 out of 1271
Percentage who cannot work their old job:  38.0 %   | 476 out of 1251

Note: some participants did not answer all of the survey questions. That is why the counts fluctuate.

Level of improvement from worst month to past 30 days¶

In the chart below, there are 2 bars in between the x-axis labels 0" and "2". These bars are for 0 and 1. The labels on the x-axis correspond to the bar to the upper right of it.

Heatmap of severity during worst month versus severity during past 30 days¶

  • The first column corresponds to people who reported that they don't currently have any symptoms.
  • The second column corresponds to people who reported that none of their symptoms currently bother them.
  • The third column corresponds to people who report the some of their symptoms currently bother them. (None reported some impairment of walking or work ability.)
  • The column on the very right corresponds to people who report the highest (current) severity.

The numbers inside each box represent the number of people.

Some surveyees increased along the severity scale due to a worsening of their work ability. This may suggest that work ability is not that important to these surveyees because they did not rate the past 30 days as being the worst month of their illness.

29 responses were dropped (at the beginning of all analysis) as their peak severity score was 2 or less.
Please note that this skews the data towards lower recovery rates!

Number of people where severity score is available:  1152

Questions for current severity were added later after some initial responses were collected.  Some people are missing severity scores because they didn't know how to answer the question about walking ability or because their worst month overlapped with the past 30 days.

Severity by chronic illness group¶

Severity score during worst month of illness
Long COVID         6.8 | n = 771
ME/CFS             7.1 | n = 126
Vaccine injured    7.0 | n = 440

Severity score for past 30 days
Long COVID         4.4 | n = 771
ME/CFS             4.8 | n = 126
Vaccine injured    4.7 | n = 440

Walking score for past 30 days (higher = greater impairment to walking ability)
Long COVID         0.2 | n = 771
ME/CFS             0.3 | n = 126
Vaccine injured    0.2 | n = 440

Working score for past 30 days (higher = greater impairment to working ability)
Long COVID         1.7 | n = 771
ME/CFS             2.2 | n = 126
Vaccine injured    1.8 | n = 440

Self-reported suffering for past 30 days (4 = greatest suffering imaginable)
Long COVID         2.5 | n = 771
ME/CFS             2.5 | n = 126
Vaccine injured    2.7 | n = 440

Peak severity score versus treatment outcomes¶

  • High severity = peak severity score 8 and above.
  • Low severity = peak severity score 7 and below.

Current (past 30 days) severity score versus treatment outcomes¶

Biological sex versus severity and recovery¶

Recovery, as measured by severity during worst month minus severity during the past 30 days

Severity during worst month of illness

Age versus severity¶

Additional analysis¶

What helped the most for people in pain?¶

Surprisingly, "Other pain relievers" ranked near the bottom of the list along with gabapentin, doxepin, and elavil.

Pain severity from the worst month of illness was used.

Opiates were included but the sample size is small.

Number of data points for Opiates - 88  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for Gabapentin - 159  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for Other pain relievers - 78  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for Elavil - 63  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for Doxepin - 33  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for CBD with THC - 174  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for CBD without THC - 178  from the group  (pain is 3/4 on 0-4 scale)
Number of data points for Opiates - 38  from the group  (pain 2 or less)
Number of data points for Gabapentin - 72  from the group  (pain 2 or less)
Number of data points for Other pain relievers - 28  from the group  (pain 2 or less)
Number of data points for Elavil - 31  from the group  (pain 2 or less)
Number of data points for Doxepin - 32  from the group  (pain 2 or less)
Number of data points for CBD with THC - 170  from the group  (pain 2 or less)
Number of data points for CBD without THC - 161  from the group  (pain 2 or less)

What helped the most for people with food intolerances?¶

Severity from the worst month of illness was used.

Number of data points for Other antihistamines - 27  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Hydroxyzine - 60  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for DAO - 84  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Clarinex - 28  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Acrivastine - 49  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Carnivore diet - 45  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Benzodiazepines - 114  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for LDN - 133  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Cromolyn - 40  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Low histamine diet - 288  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Glutenfree diet - 254  from the group  (food intolerances is 3/4 on 0-4 scale)
Number of data points for Other antihistamines - 41  from the group  (food intolerances 2 or less)
Number of data points for Hydroxyzine - 59  from the group  (food intolerances 2 or less)
Number of data points for DAO - 47  from the group  (food intolerances 2 or less)
Number of data points for Clarinex - 18  from the group  (food intolerances 2 or less)
Number of data points for Acrivastine - 79  from the group  (food intolerances 2 or less)
Number of data points for Carnivore diet - 48  from the group  (food intolerances 2 or less)
Number of data points for Benzodiazepines - 183  from the group  (food intolerances 2 or less)
Number of data points for LDN - 222  from the group  (food intolerances 2 or less)
Number of data points for Cromolyn - 15  from the group  (food intolerances 2 or less)
Number of data points for Low histamine diet - 226  from the group  (food intolerances 2 or less)
Number of data points for Glutenfree diet - 234  from the group  (food intolerances 2 or less)

What helped the most for people with POTS or OI?¶

POTS = Postural Orthostatic Tachycardia Syndrome

OI = Orthostatic Intolerance

Severity from the worst month of illness was used.

Number of data points for Colchicine - 27  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Compression garments - 290  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Water and salt - 439  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Drinking water - 270  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Sleeping with head of bed elevated - 204  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Beta blockers - 212  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Guanfacine - 30  from the group  (POTS OI is 3/4 on 0-4 scale)
Number of data points for Colchicine - 27  from the group  (POTS OI 2 or less)
Number of data points for Compression garments - 146  from the group  (POTS OI 2 or less)
Number of data points for Water and salt - 281  from the group  (POTS OI 2 or less)
Number of data points for Drinking water - 137  from the group  (POTS OI 2 or less)
Number of data points for Sleeping with head of bed elevated - 129  from the group  (POTS OI 2 or less)
Number of data points for Beta blockers - 153  from the group  (POTS OI 2 or less)
Number of data points for Guanfacine - 26  from the group  (POTS OI 2 or less)

What helped the most for people with cognitive difficulties / brain fog / memory problems?¶

Severity from the worst month of illness was used.

Number of data points for Ivermectin - 155  from the group  (cognitive difficulties is 3/4 on 0-4 scale)
Number of data points for Fluvoxamine - 44  from the group  (cognitive difficulties is 3/4 on 0-4 scale)
Number of data points for Benzodiazepines - 196  from the group  (cognitive difficulties is 3/4 on 0-4 scale)
Number of data points for Prozac - 67  from the group  (cognitive difficulties is 3/4 on 0-4 scale)
Number of data points for Ivermectin - 89  from the group  (cognitive difficulties 2 or less)
Number of data points for Fluvoxamine - 13  from the group  (cognitive difficulties 2 or less)
Number of data points for Benzodiazepines - 102  from the group  (cognitive difficulties 2 or less)
Number of data points for Prozac - 26  from the group  (cognitive difficulties 2 or less)

What helped the most for people with sleep issues?¶

Severity from the worst month of illness was used.

Number of data points for Benzodiazepines - 200  from the group  (sleep issues are 3/4 on 0-4 scale)
Number of data points for Ambien - 56  from the group  (sleep issues are 3/4 on 0-4 scale)
Number of data points for Benzodiazepines - 100  from the group  (sleep issues 2 or less)
Number of data points for Ambien - 17  from the group  (sleep issues 2 or less)

What helped the most for people with depression?¶

Severity from the worst month of illness was used.

What helped the most for people with bleeding disorders?¶

PLEASE NOTE: The sample sizes are VERY SMALL for this analysis. You should assume that the chart below is highly unreliable.

Severity from the worst month of illness was used.

What helped the most for people with clotting disorders (too much clotting)?¶

Severity from the worst month of illness was used.

Do some people fail on one H1 blocker and succeed with another?¶

Loratadine (Claritin), fexofenadine (Allegra), cetirizine (Zyrtec, Benadryl Allergy One a Day Relief 🇬🇧), levocetirizine (Xyzal) and acrivastine (Benadryl Allergy Relief 🇬🇧) are H1 blockers that are sold over-the-counter in many countries.

Responders are defined as surveyees who answered either significant or mild improvement. The chart below compares pairings of some popular anti-histamines. Each row represents a group of people who failed a particular treatment/intervention (or reported that the effect was unclear). Each column represents the chances of responding to that particular intervention.

The bracketed numbers (1234) indicate the total number of people who did not respond to the treatment/intervention ('failed').

Zyrtec Claritin Allegra Acrivastine Pepcid (H2 blocker)
Zyrtec failed 12.3% (106) 15.3% (72) 10.6% (47) 18.2% (121)
Claritin failed 22.5% (120) 16.2% (68) 20.5% (39) 28.4% (102)
Allegra failed 17.6% (74) 6.6% (61) 9.1% (22) 19.1% (68)
Acrivastine failed 8.7% (46) 8.8% (34) 16.7% (24) 24.2% (33)
Pepcid (H2 blocker) failed 14.7% (116) 17.0% (88) 16.7% (66) 16.7% (30)

Do some people succeed on one diet but fail to respond with another?¶

7 diets compared

Low histamine diet Glutenfree diet Plant based diet Vegan diet Carnivore diet Keto diet Anti inflammatory diet
Low histamine diet failed 16.7% (84) 7.3% (55) 8.3% (36) 26.3% (19) 42.4% (33) 25.5% (47)
Glutenfree diet failed 28.6% (98) 4.7% (64) 8.5% (47) 15.8% (19) 40.0% (30) 24.3% (37)
Plant based diet failed 40.0% (85) 31.5% (89) 1.5% (67) 35.0% (20) 44.4% (27) 39.5% (38)
Vegan diet failed 40.0% (55) 34.8% (66) 5.7% (70) 42.1% (19) 66.7% (18) 48.0% (25)
Carnivore diet failed 22.2% (18) 23.8% (21) 18.8% (16) 21.4% (14) 7.1% (14) 45.5% (11)
Keto diet failed 42.4% (33) 50.0% (36) 31.8% (22) 25.0% (8) 7.1% (14) 29.4% (17)
Anti inflammatory diet failed 16.7% (42) 15.2% (33) 8.0% (25) 7.1% (14) 0.0% (6) 14.3% (14)

All diets compared

Low histamine diet Glutenfree diet Plant based diet Vegan diet AIP diet Wahls protocol Paleo diet Carnivore diet Keto diet Anti inflammatory diet Other diet
Low histamine diet failed 16.7% (84) 7.3% (55) 8.3% (36) 7.1% (14) 0.0% (3) 30.8% (13) 26.3% (19) 42.4% (33) 25.5% (47) 50.0% (10)
Glutenfree diet failed 28.6% (98) 4.7% (64) 8.5% (47) 17.6% (17) 0.0% (5) 26.3% (19) 15.8% (19) 40.0% (30) 24.3% (37) 40.0% (5)
Plant based diet failed 40.0% (85) 31.5% (89) 1.5% (67) 20.0% (15) 33.3% (6) 33.3% (24) 35.0% (20) 44.4% (27) 39.5% (38) 58.3% (12)
Vegan diet failed 40.0% (55) 34.8% (66) 5.7% (70) 20.0% (15) 33.3% (6) 38.1% (21) 42.1% (19) 66.7% (18) 48.0% (25) 66.7% (9)
AIP diet failed 40.9% (22) 41.7% (24) 14.3% (14) 7.7% (13) 20.0% (5) 40.0% (10) 50.0% (12) 25.0% (8) 20.0% (10) 60.0% (5)
Wahls protocol failed 40.0% (5) 28.6% (7) 0.0% (4) 0.0% (4) 0.0% (4) 25.0% (4) 0.0% (2) 33.3% (3) 33.3% (3) 0.0% (1)
Paleo diet failed 25.0% (12) 26.3% (19) 11.1% (18) 7.1% (14) 14.3% (7) 0.0% (3) 18.2% (11) 18.2% (11) 40.0% (10) 66.7% (3)
Carnivore diet failed 22.2% (18) 23.8% (21) 18.8% (16) 21.4% (14) 25.0% (8) 33.3% (3) 10.0% (10) 7.1% (14) 45.5% (11) 66.7% (3)
Keto diet failed 42.4% (33) 50.0% (36) 31.8% (22) 25.0% (8) 33.3% (9) 33.3% (3) 18.2% (11) 7.1% (14) 29.4% (17) 25.0% (4)
Anti inflammatory diet failed 16.7% (42) 15.2% (33) 8.0% (25) 7.1% (14) 0.0% (8) 0.0% (2) 0.0% (6) 0.0% (6) 14.3% (14) 11.1% (9)
Other diet failed 16.7% (6) 40.0% (5) 16.7% (6) 25.0% (4) 0.0% (2) 0.0% (1) 0.0% (1) 0.0% (1) 0.0% (3) 0.0% (8)

Sex differences in treatment outcomes?¶

People who did not report worsening from intense exercise¶

These surveyees may be reporting slightly lower recovery (than those who reported negative outcomes from intense exericse). (Results may not necessarily be statistically significant.)

Reported improvement or not much benefit/harm from intense exercise: 117
Exercise responders peak sev: 6.1
Exercise responders curr sev: 3.5
Improvement:                  2.5

Reported worsening from exercise: 530
Not exercise responders peak sev 7.1
Not exercise responders curr sev 4.8
Improvement:                     2.4

Ivermectin non-responders (versus responders)¶

What treatments seemed to work well in the non-responders?

Treatment rankings for ivermectin non-responders

Treatments with more than 63 data points Score Risk score # of data points (out of 115 surveyees)
1 [Meditation] 0.88 0.00 68
2 [Avoiding exercise] 0.69 -0.14 78
3 [Time] 0.55 -0.42 110
4 [Magnesium] 0.55 -0.07 104
5 [Nattokinase] 0.44 -0.08 77
6 [Aspirin] 0.34 -0.04 67
7 [NAC] 0.32 -0.09 82
8 [Quercetin] 0.31 -0.04 85
9 [Advil] 0.30 -0.04 67
10 [Melatonin] 0.30 -0.14 79
11 [Curcumin] 0.26 -0.02 84
12 [Fish oil etc.] 0.26 -0.01 78
13 [Vitamin D] 0.25 -0.12 102
14 [CoQ10] 0.20 -0.01 74
15 [Probiotics prebiotics] 0.19 -0.28 75
16 [Vitamin C] 0.18 -0.06 88
17 [Zinc] 0.16 -0.10 83
18 [B vitamins] 0.15 -0.14 95
19 [Ivermectin] -0.30 -0.30 115
20 [Tetracyclines, Fluoroquinolones, Penicillins,... -0.41 -0.67 101
21 [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... -0.68 -0.89 73
22 [Light exercise] -0.94 -1.17 83
23 [Intense exercise] -2.26 -2.33 66

Worsened on corticosteroids versus non-failures¶

Failure is not the same as a non-responder. Worsening/failure is defined as somebody who reported worsening; it does NOT include 'unsure' and 'not much benefit/harm'

Note that the sample sizes are fairly small, so this analysis is likely unreliable.

HBOT - high ATA versus low ATA¶

Data from surveyees who tried both high and low ATA HBOT:

HBOT <=1.5 ATA HBOT >1.5 ATA Difference?
1 Effect unclear Mild worsening Effect unclear | Mild worsening
2 Mild improvement Mild improvement
3 Mild improvement Mild improvement
4 Mild improvement Significant improvement Mild improvement | Significant improvement
5 Mild improvement Mild improvement
6 Mild improvement Mild improvement
7 Mild improvement Mild improvement
8 Mild improvement Significant improvement Mild improvement | Significant improvement
9 Mild improvement Significant improvement Mild improvement | Significant improvement
10 Not much benefit/harm Mild improvement Not much benefit/harm | Mild improvement
11 Not much benefit/harm Not much benefit/harm
12 Not much benefit/harm Not much benefit/harm
13 Not much benefit/harm Not much benefit/harm
14 Not much benefit/harm Not much benefit/harm
15 Not much benefit/harm Not much benefit/harm
16 Significant improvement Significant improvement
17 Significant improvement Significant improvement
18 Significant improvement Significant improvement
19 Significant improvement Significant improvement
20 Significant improvement Significant improvement

Those who try only low ATA HBOT versus those who try only high ATA HBOT¶

It seems that those who try only low ATA HBOT tend to rate treatments more favorably than people who try only high ATA HBOT.

This bias might even understate the difference in outcomes between high and low ATA HBOT.

Treatments with more than 16 data points Score Risk score # of data points (out of 49 surveyees)
1 ['Glutenfree diet'] 1.26 0.00 19
2 ['Low histamine diet'] 1.23 0.00 22
3 ['Time'] 1.21 -0.19 43
4 ['Pacing strategies'] 1.21 0.00 24
5 ['HBOT <=1.5 ATA', 'HBOT >1.5 ATA'] 1.16 -0.14 49
6 ['Meditation'] 1.00 0.00 21
7 ['Aciclovir', 'Famciclovir', 'Valtrex', 'Valcy... 0.84 0.00 19
8 ['LDN'] 0.83 -0.31 29
9 ['Avoiding exercise'] 0.83 -0.14 29
10 ['Magnesium'] 0.71 -0.03 38
11 ['Zyrtec'] 0.65 -0.05 20
12 ['Water and salt'] 0.64 0.00 28
13 ['Fish oil etc.'] 0.56 0.00 27
14 ['Vitamin D'] 0.55 -0.05 40
15 ['Other NSAID'] 0.53 -0.06 17
16 ['Nattokinase'] 0.52 -0.14 29
17 ['Intermittent fasting'] 0.52 -0.14 21
18 ['Aspirin'] 0.48 -0.03 31
19 ['B vitamins'] 0.48 -0.05 40
20 ['Melatonin'] 0.44 -0.20 25
21 ['Compression garments'] 0.42 0.00 26
22 ['Zinc'] 0.39 -0.04 28
23 ['Claritin'] 0.36 -0.05 22
24 ['Sleeping with head of bed elevated'] 0.35 0.00 17
25 ['NAC'] 0.35 -0.13 23
26 ['Curcumin'] 0.30 -0.03 30
27 ['Serrapeptase'] 0.29 -0.14 21
28 ['Vitamin C'] 0.28 -0.08 36
29 ['ALA'] 0.28 0.00 18
30 ['Probiotics prebiotics'] 0.26 -0.26 31
31 ['K vitamins'] 0.26 -0.11 19
32 ['Quercetin'] 0.24 -0.04 25
33 ['Pepcid'] 0.23 -0.18 22
34 ['Glutathione'] 0.23 -0.15 26
35 ['Tetracyclines', 'Fluoroquinolones', 'Penicil... 0.21 -0.62 34
36 ['Acupuncture'] 0.18 -0.14 22
37 ['Advil'] 0.16 -0.05 19
38 ['CoQ10'] 0.15 -0.15 27
39 ['Red light therapy'] 0.15 -0.10 20
40 ['Multivitamin'] 0.10 -0.20 20
41 ['Tylenol'] 0.06 -0.06 17
42 ['Celexa', 'Lexapro', 'Fluvoxamine', 'Prozac',... 0.03 -0.55 31
43 ['Plant based diet', 'Vegan diet'] -0.29 -0.82 17
44 ['Light exercise'] -0.60 -1.23 30
45 ['Intense exercise'] -2.00 -2.27 26

Prayer analysis¶

Did those who reported positive outcomes from prayer have roughly the same change in severity as those who did not?

-- Change in severity score (-2 to +10, higher is more recovery) --
Significant improvement from prayer           2.48
Mild improvement from prayer                  2.32
Not much improvement or worsening             1.73

Tried prayer                                  2.15
Did not try prayer                            2.41

Number of successful treatments versus non-successful treatments¶

The chart below plots # of successful treatments on the y-axis and the number of non-successful treatments on the x-axis.

Non-successful includes 'effect unclear' and 'Not much benefit/harm'

A histogram plot of the # of succcessful treatments reported

A histogram plot of the # of non-succcessful treatments reported

Number of treatments with significant improvement versus treatments without significant improvement¶

Does recovery correlate with successful treatments? Does it correlate with the number of treatments tried?

The chart below plots # of highly successful treatments on the y-axis and the number of other treatments on the x-axis.

The lower number of treatments tried among the lowest (current) severity patients may be partially explained by those patients being less severe (lower peak severity score)...?

Number of treatments tried
Peak severity score
3.0 28.066667
4.0 25.073171
5.0 27.251908
6.0 29.835749
7.0 30.886207
8.0 30.333333
9.0 35.533074

The same histogram, but only of those who mostly recovered

Data on what treatments led to recovery AND the surveyee rating the treatment as leading to 'significant improvement'¶

Among those who mostly recovered (87/1173 people), many treatments were rated by some as leading to 'Significant improvement'.  Those will be listed in the next section 'All 235 treatments surveyed' 

Severity/recovery data was available for 1173 people

Long COVID         690
Vaccine injured    379
ME/CFS             104
Name: Chronic illness, dtype: int64
The mostly recovered consisted of the following chronic illness types:

Long COVID         52
Vaccine injured    30
ME/CFS              5
Name: Chronic illness, dtype: int64
7.92% of vaccine injured with severity data are mostly recovered.
7.54% of Long COVID with severity data are mostly recovered.

Important note for the next set of analyses¶

29 responses were dropped (at the beginning of all analysis) as their peak severity score was 2 or less.
Please note that this skews the data towards lower recovery rates and lower recovery numbers!

All 235 treatments surveyed¶

The most important column is the third column, which are the people who rated a treatment highly ('significant improvement') AND were mostly recovered. Anything less than ~1.17% may be worse than random.

The second most important column is the first column (Count), which is the total number of successes. If the count is only 1, then the data may not be very reliable due to the small sample sizes involved.

The 2nd and 4th columns indicate the popularity of all the treatments.

Count % of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment Number who tried this treatment
Time 49 88.6 4.7 1039
Vitamin D 3 76.7 0.3 900
Magnesium 9 71.0 1.1 833
B vitamins 5 69.3 0.6 813
Avoiding exercise 12 66.0 1.6 774
Light exercise 3 65.9 0.4 773
Vitamin C 2 61.5 0.3 721
Pacing strategies 14 57.1 2.1 670
Water and salt 6 55.1 0.9 646
Meditation 11 54.8 1.7 643
Probiotics prebiotics 12 52.4 2.0 615
Intense exercise 4 50.6 0.7 594
Curcumin 1 50.5 0.2 592
Fish oil etc. 3 50.1 0.5 588
Zinc 3 50.0 0.5 586
Advil 3 49.4 0.5 579
Melatonin 2 46.2 0.4 542
CoQ10 1 46.0 0.2 539
Quercetin 1 42.8 0.2 502
Multivitamin 1 42.6 0.2 500
Tylenol 0 42.6 0.0 500
NAC 6 41.9 1.2 491
Aspirin 4 41.7 0.8 489
Low histamine diet 8 40.5 1.7 475
Intermittent fasting 5 39.9 1.1 468
Nattokinase 10 37.9 2.3 444
Glutenfree diet 9 37.8 2.0 443
Zyrtec 6 35.0 1.5 411
Compression garments 0 34.3 0.0 402
Massage 2 33.0 0.5 387
CBT 1 32.1 0.3 376
Drinking water 3 31.3 0.8 367
Acupuncture 3 31.2 0.8 366
Pepcid 1 30.9 0.3 363
Other NSAID 6 28.6 1.8 335
Beta blockers 2 28.2 0.6 331
Claritin 1 27.8 0.3 326
Ashwagandha 3 27.7 0.9 325
Prayer 8 27.5 2.5 323
Graded exercise therapy 3 27.4 0.9 321
LDN 5 27.2 1.6 319
CBD without THC 1 26.9 0.3 315
CBD with THC 0 26.3 0.0 309
VNS 4 26.1 1.3 306
Sleeping with head of bed elevated 1 25.9 0.3 304
K vitamins 1 25.5 0.3 299
Corticosteroids 5 24.3 1.8 285
Glutathione 0 23.8 0.0 279
OMAD 9 21.5 3.6 252
Benzodiazepines 1 21.4 0.4 251
Count % of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment Number who tried this treatment
ALA 0 21.3 0.0 250
Resveratrol 2 20.3 0.8 238
Plant based diet 1 19.4 0.4 227
Serrapeptase 6 19.2 2.7 225
Benadryl 1 19.2 0.4 225
Ivermectin 7 18.3 3.3 215
NADH 0 18.0 0.0 211
Lion's mane 1 17.6 0.5 207
Gabapentin 1 17.4 0.5 204
Allegra 0 16.4 0.0 192
Chiropractic 1 16.1 0.5 189
Dandelion 1 16.1 0.5 189
Anti inflammatory diet 4 16.0 2.1 188
Red light therapy 2 15.9 1.1 186
24-48 hour fasting 3 15.6 1.6 183
Wim Hof with cold 2 14.5 1.2 170
Augmented NAC 2 14.2 1.2 167
Other brain retraining 6 13.3 3.8 156
Infrared sauna 3 13.2 1.9 155
Lexapro 1 11.9 0.7 140
Patches 3 11.8 2.2 138
IV vitamins 0 11.7 0.0 137
Keto diet 3 11.6 2.2 136
EMDR 1 11.4 0.7 134
DAO 1 10.6 0.8 124
Homeopathy 0 10.4 0.0 122
Wellbutrin 0 10.4 0.0 122
Zoloft 1 10.4 0.8 122
Oil of oregano 1 10.3 0.8 121
Acrivastine 0 10.1 0.0 119
Diazepam 2 10.1 1.7 118
Vegan diet 0 10.1 0.0 119
Paxlovid 2 9.7 1.8 114
Other muscle relaxers 0 9.6 0.0 113
Opiates 0 9.5 0.0 112
Hydroxyzine 0 9.3 0.0 109
Traditional sauna 1 9.2 0.9 108
Multiday wet fasting 3 9.1 2.8 107
Penicillins 0 9.0 0.0 105
Statins 3 9.0 2.9 105
Nigella sativa oil 2 9.0 1.9 105
Tetracyclines 1 9.0 1.0 105
Psychedelic mushrooms 0 8.8 0.0 103
Dry cupping 0 8.7 0.0 102
Valtrex 2 8.5 2.0 100
Montelukast 0 8.4 0.0 98
Osteopathy 0 8.2 0.0 96
Nigella sativa capsules 1 8.2 1.0 96
Lavender 0 8.1 0.0 95
Lumbrokinase 1 8.1 1.1 95
Count % of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment Number who tried this treatment
Other TCM 1 7.8 1.1 92
Seroquel 0 7.8 0.0 91
Pine needle tea 0 7.7 0.0 90
Wim Hof without cold 2 7.7 2.2 90
Activated charcoal 0 7.6 0.0 89
Other pain relievers 0 7.6 0.0 89
Vaping 1 7.4 1.1 87
Carnivore diet 6 7.4 6.9 87
Cymbalta 0 7.3 0.0 86
IV vitamin C 0 7.2 0.0 85
Elavil 1 7.2 1.2 84
Other diet 3 7.1 3.6 83
Antiseizure 0 6.8 0.0 80
Zeolite 0 6.3 0.0 74
Cigarettes 0 6.3 0.0 74
Paleo diet 3 6.3 4.1 74
Plaquenil 2 6.1 2.8 72
Prozac 0 6.1 0.0 72
Other nicotine 1 6.0 1.4 70
Remeron 0 5.7 0.0 67
Metformin 0 5.7 0.0 67
HBOT <=1.5 ATA 0 5.7 0.0 67
HBOT >1.5 ATA 3 5.6 4.5 66
Monolaurin 0 5.5 0.0 64
Effexor 1 5.5 1.5 65
Cat's claw 2 5.4 3.2 63
Ambien 0 5.3 0.0 62
AIP diet 2 5.3 3.2 62
Methylene blue 2 5.2 3.3 61
Fluconazole 1 4.9 1.7 58
Other antihistamines 0 4.9 0.0 58
Bentonite clay 0 4.9 0.0 58
Doxepin 1 4.9 1.8 57
Xyzal 0 4.8 0.0 56
St. John's Wort 1 4.8 1.8 56
Spermidine 0 4.8 0.0 56
Ketotifen 1 4.7 1.8 55
Multiday juice fasting 1 4.6 1.9 54
Gupta program 1 4.6 1.9 54
Clopidogrel 2 4.5 3.8 53
Fluvoxamine 1 4.4 1.9 52
TRT 1 4.4 1.9 52
Eliquis 2 4.3 4.0 50
Guanfacine 0 4.3 0.0 50
Celexa 0 4.3 0.0 51
Mestinon 0 4.1 0.0 48
Colchicine 2 4.1 4.2 48
Fluoroquinolones 0 3.9 0.0 46
IV ozone 0 3.9 0.0 46
Cromolyn 0 3.8 0.0 45
Count % of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment Number who tried this treatment
Clarinex 0 3.8 0.0 44
Abilify 1 3.7 2.3 43
Macrolides 0 3.5 0.0 41
Nystatin 0 3.4 0.0 40
Antibiotic unknown type 1 3.3 2.6 39
Aciclovir 2 3.3 5.1 39
Multiday dry fasting 1 3.2 2.7 37
Pamelor 1 3.1 2.8 36
Heparin 1 2.8 3.0 33
Other antibiotic 0 2.7 0.0 32
DNRS 0 2.7 0.0 32
Other chelation 0 2.6 0.0 30
Ayurveda 0 2.5 0.0 29
Other antifungal 2 2.4 7.1 28
SGB 0 2.4 0.0 28
Metronidazole 0 2.2 0.0 26
NIBS 0 2.2 0.0 26
Quantum healing 0 2.1 0.0 25
Maraviroc 2 2.1 8.0 25
Nigella sativa seed 0 2.0 0.0 23
Photobiomodulation 0 1.9 0.0 22
Tollovid 1 1.8 4.8 21
IVIG 0 1.7 0.0 20
Vedicinals9 0 1.7 0.0 20
Biocidin 0 1.7 0.0 20
Rife 0 1.7 0.0 20
Clindamycin 0 1.7 0.0 20
Monoclonals 1 1.7 5.0 20
Doxylamine 0 1.6 0.0 19
Paxil 0 1.6 0.0 19
Sulfonamides 0 1.5 0.0 18
Chlorine dioxide 1 1.5 5.6 18
TWC detox 0 1.4 0.0 17
Wahls protocol 0 1.4 0.0 17
EDTA 0 1.4 0.0 16
Canesten 0 1.4 0.0 17
Vortioxetine 1 1.3 6.7 15
Bilastine 0 1.2 0.0 14
EBOO 0 1.2 0.0 14
Red yeast rice 0 1.2 0.0 14
HELP apheresis 1 1.2 7.1 14
Methotextrate 0 1.2 0.0 14
Lightning process 0 1.1 0.0 13
DMARD 0 1.1 0.0 13
Ketoconazole 0 1.0 0.0 12
Wet cupping 0 1.0 0.0 12
Xarelto 0 1.0 0.0 12
Cephalosporins 0 0.9 0.0 11
Stem cells 3 0.9 30.0 10
Frequency wand 0 0.9 0.0 10
Count % of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment Number who tried this treatment
Biologic 0 0.9 0.0 11
Famciclovir 1 0.9 9.1 11
ASEA Redox 1 0.9 9.1 11
Root wellness 1 0.9 9.1 11
Cardio Miracle 1 0.8 11.1 9
Inuspheresis 0 0.7 0.0 8
Rupatadine 0 0.7 0.0 8
Nitrofurantoin 0 0.7 0.0 8
Rapamycin 0 0.6 0.0 7
Kangen water 0 0.6 0.0 7
Molnupiravir 0 0.6 0.0 7
Alinia 0 0.6 0.0 7
Immunoadsorption 0 0.5 0.0 6
Ebastine 0 0.5 0.0 6
Clomipramine 0 0.5 0.0 6
SCIG 0 0.4 0.0 5
Sulodexide 0 0.4 0.0 5
Semprex D 0 0.3 0.0 3
Favipiravir 1 0.3 33.3 3
Urotherapy 0 0.3 0.0 4
DTPA 0 0.3 0.0 4
Valcyte 0 0.3 0.0 3
Miconazole 0 0.3 0.0 4
HCG 0 0.3 0.0 3
PLEX 0 0.3 0.0 4
Terbinafine 0 0.3 0.0 4
Econazole 0 0.2 0.0 2
Mizolastine 0 0.2 0.0 2
Amphotericin 0 0.1 0.0 1
Aminoglycosides 0 0.1 0.0 1
Astemizole 0 0.1 0.0 1
Avacen 0 0.1 0.0 1
Quifenadine 0 0.1 0.0 1
Seldane 0 0.1 0.0 1
Bepotastine 0 0.0 NaN 0

Spreadsheet version of the table above¶

Click here for the spreadsheet. The spreadsheet will let you conveniently sort and filter the data so that you can get a better picture of how treatments stack up.

If you just want to see the table (without being able to edit it), see here. You will need to change tabs to see the data- look for links at the top or bottom of that page.

Treatments that likely do not lead to recovery¶

Here are the top 60 where no patients became mostly recovered. In other words, these are treatments with the most evidence of ineffectiveness.

1173 people had valid severity data.
% of surveyees (with recovery data) who tried this % (of those who tried this) who mostly recovered AND reported significant improvement from this treatment
Tylenol 42.6 0.0
Compression garments 34.3 0.0
CBD with THC 26.3 0.0
Glutathione 23.8 0.0
ALA 21.3 0.0
NADH 18.0 0.0
Allegra 16.4 0.0
IV vitamins 11.7 0.0
Homeopathy 10.4 0.0
Wellbutrin 10.4 0.0
Vegan diet 10.1 0.0
Acrivastine 10.1 0.0
Other muscle relaxers 9.6 0.0
Opiates 9.5 0.0
Hydroxyzine 9.3 0.0
Penicillins 9.0 0.0
Psychedelic mushrooms 8.8 0.0
Dry cupping 8.7 0.0
Montelukast 8.4 0.0
Osteopathy 8.2 0.0
Lavender 8.1 0.0
Seroquel 7.8 0.0
Pine needle tea 7.7 0.0
Activated charcoal 7.6 0.0
Other pain relievers 7.6 0.0
Cymbalta 7.3 0.0
IV vitamin C 7.2 0.0
Antiseizure 6.8 0.0
Cigarettes 6.3 0.0
Zeolite 6.3 0.0
Prozac 6.1 0.0
HBOT <=1.5 ATA 5.7 0.0
Remeron 5.7 0.0
Metformin 5.7 0.0
Monolaurin 5.5 0.0
Ambien 5.3 0.0
Bentonite clay 4.9 0.0
Other antihistamines 4.9 0.0
Spermidine 4.8 0.0
Xyzal 4.8 0.0
Celexa 4.3 0.0
Guanfacine 4.3 0.0
Mestinon 4.1 0.0
IV ozone 3.9 0.0
Fluoroquinolones 3.9 0.0
Clarinex 3.8 0.0
Cromolyn 3.8 0.0
Macrolides 3.5 0.0
Nystatin 3.4 0.0
Other antibiotic 2.7 0.0
DNRS 2.7 0.0
Other chelation 2.6 0.0
Ayurveda 2.5 0.0
SGB 2.4 0.0
Metronidazole 2.2 0.0
NIBS 2.2 0.0
Quantum healing 2.1 0.0
Nigella sativa seed 2.0 0.0
Photobiomodulation 1.9 0.0
Clindamycin 1.7 0.0

Do the more pessimistic/realistic surveyees have a different ranking of treatments?¶

'Realists'/'pessimists' are defined as people who reported more than 2 non-successful treatments for every successful treatment.

Number of realists/pessimists: 377
All surveyees: 1337

Rankings from realists are shown below:

Symptom cluster analysis¶

Hierarchical clustering was used to try to find potential phenotypes of chronic illness. In this situation, it is unlikely that the analysis found a distinct phenotype. In my experience, hierarchical clustering usually spots surveyees who have a different style when answering surveys. Those phenomena tend to drown out any subtle phenotypes, if they exist.

Of 1337 data points, 1137 had valid severity data that could be used for the cluster analysis

The diagram below is a dendrogram. DisplayR.com has an excellent webpage on how to read dendrograms. Visit https://www.displayr.com/what-is-dendrogram/ or https://archive.ph/4PN2f

Symptoms were rated on a subjective scale. -1 = don't have this symptoms. 0 = no suffering. 4 = worst suffering imaginable. Avoidance behaviours (for light/sound sensitivity) are on a scale of 0 to 1, or 0% to 100%. e.g. 44% wore sunglasses indoors.

Number of people in each cluster

0.0    395
1.0    276
2.0    303
3.0    163
Name: Cluster, dtype: int64
Cluster 0.0 1.0 2.0 3.0
Employment severity peak 2.501272 2.154412 2.375415 2.734568
Employment severity current 2.058511 1.385768 1.456081 2.421053
Peak pain 2.364557 0.721014 1.620462 3.171779
Peak depression 2.225316 1.340580 1.465347 2.791411
Peak cognitive difficulties 3.086076 1.847826 2.399340 3.411043
Peak sleep issues 2.592405 1.568841 2.132013 3.263804
Peak bleeding disorders -0.597468 -0.873188 -0.330033 0.398773
Peak clotting disorders -0.374684 -0.655797 0.168317 0.619632
Peak POTS OI 2.192405 0.648551 1.749175 3.380368
Peak food intolerances 1.797468 -0.369565 1.980198 2.312883
Peak sound sensitivity 2.334177 0.394928 1.442244 3.251534
Peak light sensitivity 2.296203 0.260870 1.085809 3.122699
Peak other symptoms 2.600000 1.057971 2.541254 3.460123
Current pain 1.498734 0.039855 0.471947 2.564417
Current depression 1.301266 0.503623 0.343234 2.226994
Current cognitive difficulties 2.068354 0.822464 0.854785 2.717791
Current sleep issues 1.640506 0.648551 0.567657 2.656442
Current bleeding disorders -0.718987 -0.880435 -0.617162 0.202454
Current clotting disorders -0.556962 -0.753623 -0.320132 0.288344
Current POTS OI 1.248101 -0.036232 0.386139 2.466258
Current food intolerances 1.088608 -0.539855 0.914191 1.834356
Current sound sensitivity 1.377215 -0.206522 0.069307 2.331288
Current light sensitivity 1.281013 -0.376812 -0.039604 2.239264
Current other symptoms 1.830380 0.384058 1.151815 2.846626
Age 40.570332 43.237226 42.243333 41.425926
Sunglasses 0.320611 0.109890 0.153846 0.472393
Avoided outdoors 0.519084 0.157509 0.267559 0.650307
Avoided bright environments 0.699746 0.267399 0.458194 0.852761
No light sensitivity 0.216285 0.659341 0.478261 0.092025
Earpro 0.503797 0.202206 0.335548 0.705521
Avoided loud environments 0.774684 0.363971 0.601329 0.883436
No sound sensitivity 0.146835 0.584559 0.332226 0.061350

One way to describe the clusters would be:

  1. High severity --> High severity, low recovery
  2. High severity --> Low severity, high recovery
  3. Low severity --> Low severity, low recovery (those with lower severity have a ceiling as to how much they can improve)
  4. A small high-severity cluster where there is a tendency to report both bleeding and clotting disorders. Almost all of these people are vaccine injured.

Sound and light sensitivity analyses (by cluster)¶

Survey questions were:

  • "Have you done any of the following due to sensitivity to light?"

    • "Avoided bright environments"
    • "Avoided being outdoors" --> Avoided outdoors
    • "Wore sunglasses indoors" --> Sunglasses
    • "None of the above" --> No light sensitivity

  • "Have you done any of the following due to sensitivity to sound?"

    • "Avoided loud environments"
    • "Wore ear buds" --> Earpro
    • "None of the above" --> No sound sensitivity (*This is not a good name. What it really means is none of the above.)

The two high-severity clusters had roughly the same percentage answering the objective questions about avoidance behaviours. However, one of those clusters rated their subjective suffering slightly higher (on average).

Statistics for the composition of each cluster¶

If Long COVID, ME/CFS, and vaccine injury have differences then one might expect the cluster analysis to reflect that.

Suppose that cluster 3 has an unusually high proportion of vaccine injured individuals. My opinion is that the cluster reflect surveyees who answer surveys with a particular style rather than underlying medical differences.

Aside from that cluster, the postvax and Long COVID patients are hard to distinguish based on the survey questions asked. However, this survey was not designed to find differences. (There are other surveys with better data on this issue.) There was no survey question about loss of smell or taste- a symptom that may be far more common in Long COVID.

Cluster 0

Long COVID         231
Vaccine injured    129
ME/CFS              35
Name: Chronic illness, dtype: int64
Cluster 1

Long COVID         171
Vaccine injured     81
ME/CFS              24
Name: Chronic illness, dtype: int64
Cluster 2

Long COVID         184
Vaccine injured     94
ME/CFS              25
Name: Chronic illness, dtype: int64
Cluster 3

Long COVID         83
Vaccine injured    68
ME/CFS             12
Name: Chronic illness, dtype: int64

Second cluster analysis (symptoms rather than patients)¶

This analysis looks at symptoms that are similar to each other than than people who are similar to each other.

I was curious to see if light and sound sensitivity were 2 symptoms characteristic of its own phenotype, as an underyling medical cause (e.g. meningitis) would lead to a distinct phenotype. Perhaps a survey or study designed to look for phenotypes would be able to find distinct phenotypes.

The bleeding and clotting disorders form the most distinct cluster (4, 5, 15, 16 in the dendrogram above). This likely reflects how those surveyees answered the survey as they typically reported BOTH bleeding and too much clotting. It may not reflect underlying medical differences.

Of 24 patients who reported 1 or higher for subjective suffering from clotting disorders, only 2 reported taking a prescription drug thinner (clopidogrel or clopidogrel + heparin). 10 did not try any of the natural anticoag supplements (serra, natto, lumbro).

Symptom followed by which cluster they are grouped into

Peak pain                         0
Peak depression                   0
Peak cognitive difficulties       0
Peak sleep issues                 0
Peak bleeding disorders           1
Peak clotting disorders           1
Peak POTS OI                      2
Peak food intolerances            2
Peak sound sensitivity            2
Peak light sensitivity            2
Peak other symptoms               0
Current pain                      0
Current depression                0
Current cognitive difficulties    2
Current sleep issues              2
Current bleeding disorders        1
Current clotting disorders        1
Current POTS OI                   2
Current food intolerances         2
Current sound sensitivity         2
Current light sensitivity         2
Current other symptoms            0
Name: Cluster, dtype: int64

Popularity rankings¶

Treatments sorted from most data points (people who reported data for the treatment) to least. The top 60 are shown. See earlier tables (All 235 treatments surveyed) for a complete list.

Treatments with more than 0 data points Score Risk score # of data points (out of 1337 surveyees) Percentage tried (%)
1 [Time] 0.90 -0.30 1172 87.7
2 [Vitamin D] 0.49 -0.04 1009 75.5
3 [Magnesium] 0.75 -0.06 935 69.9
4 [B vitamins] 0.51 -0.07 911 68.1
5 [Avoiding exercise] 0.97 -0.15 853 63.8
6 [Light exercise] -0.52 -0.98 848 63.4
7 [Vitamin C] 0.42 -0.04 805 60.2
8 [Pacing strategies] 1.40 -0.04 734 54.9
9 [Water and salt] 1.02 -0.02 723 54.1
10 [Meditation] 1.05 -0.02 708 53.0
11 [Probiotics prebiotics] 0.59 -0.10 682 51.0
12 [Curcumin] 0.46 -0.05 666 49.8
13 [Zinc] 0.43 -0.03 660 49.4
14 [Fish oil etc.] 0.43 -0.03 658 49.2
15 [Intense exercise] -2.04 -2.24 647 48.4
16 [Advil] 0.36 -0.13 639 47.8
17 [CoQ10] 0.43 -0.05 608 45.5
18 [Melatonin] 0.50 -0.17 602 45.0
19 [Quercetin] 0.52 -0.06 570 42.6
20 [Multivitamin] 0.31 -0.06 567 42.4
21 [Tylenol] 0.31 -0.06 560 41.9
22 [NAC] 0.52 -0.10 551 41.2
23 [Aspirin] 0.39 -0.10 545 40.8
24 [Intermittent fasting] 0.62 -0.14 518 38.7
25 [Low histamine diet] 1.29 -0.00 516 38.6
26 [Nattokinase] 0.58 -0.14 505 37.8
27 [Glutenfree diet] 1.21 -0.01 492 36.8
28 [Zyrtec] 0.65 -0.11 446 33.4
29 [Compression garments] 0.73 -0.05 438 32.8
30 [Massage] 0.63 -0.17 428 32.0
31 [Drinking water] 0.87 -0.00 411 30.7
32 [CBT] 0.53 -0.13 405 30.3
33 [Acupuncture] 0.60 -0.18 401 30.0
34 [Pepcid] 0.58 -0.20 397 29.7
35 [Other NSAID] 0.35 -0.20 377 28.2
36 [Beta blockers] 0.69 -0.34 369 27.6
37 [Prayer] 1.20 -0.02 368 27.5
38 [LDN] 0.69 -0.33 357 26.7
39 [Ashwagandha] 0.29 -0.19 356 26.6
40 [Claritin] 0.55 -0.12 356 26.6
41 [CBD with THC] 0.39 -0.40 348 26.0
42 [CBD without THC] 0.39 -0.15 346 25.9
43 [K vitamins] 0.36 -0.06 341 25.5
44 [Sleeping with head of bed elevated] 0.53 -0.08 336 25.1
45 [Graded exercise therapy] -0.69 -1.18 335 25.1
46 [VNS] 0.85 -0.07 332 24.8
47 [Corticosteroids] 0.48 -0.46 328 24.5
48 [Glutathione] 0.46 -0.09 315 23.6
49 [Benzodiazepines] 1.06 -0.17 303 22.7
50 [ALA] 0.45 -0.06 278 20.8
51 [OMAD] 0.43 -0.32 276 20.6
52 [Resveratrol] 0.44 -0.04 266 19.9
53 [Plant based diet] 0.65 -0.14 257 19.2
54 [Serrapeptase] 0.65 -0.08 249 18.6
55 [Benadryl] 0.35 -0.20 246 18.4
56 [Ivermectin] 0.91 -0.14 245 18.3
57 [Lion's mane] 0.36 -0.13 241 18.0
58 [Gabapentin] 0.06 -0.53 234 17.5
59 [NADH] 0.40 -0.12 230 17.2
60 [Allegra] 0.57 -0.10 218 16.3

Risk rankings¶

Treatments sorted from highest risk score to lowest risk score. May be limited to the 60 riskiest treatments.

Treatments with more than 228 data points Score Risk score # of data points (out of 1337 surveyees)
1 [Intense exercise] -2.04 -2.24 647
2 [Graded exercise therapy] -0.69 -1.18 335
3 [Light exercise] -0.52 -0.98 848
4 [Celexa, Lexapro, Fluvoxamine, Prozac, Paxil, ... -0.30 -0.74 553
5 [Remeron, Seroquel, Wellbutrin] -0.25 -0.68 316
6 [Tetracyclines, Fluoroquinolones, Penicillins,... 0.02 -0.54 524
7 [Gabapentin] 0.06 -0.53 234
8 [Corticosteroids] 0.48 -0.46 328
9 [CBD with THC] 0.39 -0.40 348
10 [Beta blockers] 0.69 -0.34 369
11 [LDN] 0.69 -0.33 357
12 [OMAD] 0.43 -0.32 276
13 [Time] 0.90 -0.30 1172
14 [Plant based diet, Vegan diet] 0.55 -0.21 386
15 [Benadryl] 0.35 -0.20 246
16 [Other NSAID] 0.35 -0.20 377
17 [Pepcid] 0.58 -0.20 397
18 [Ashwagandha] 0.29 -0.19 356
19 [Acupuncture] 0.60 -0.18 401
20 [Benzodiazepines] 1.06 -0.17 303
21 [Melatonin] 0.50 -0.17 602
22 [Avoiding exercise] 0.97 -0.15 853
23 [CBD without THC] 0.39 -0.15 346
24 [Nattokinase] 0.58 -0.14 505
25 [Ivermectin] 0.91 -0.14 245
26 [Intermittent fasting] 0.62 -0.14 518
27 [CBT] 0.53 -0.13 405
28 [Advil] 0.36 -0.13 639
29 [Lion's mane] 0.36 -0.13 241
30 [NADH] 0.40 -0.12 230
31 [Claritin] 0.55 -0.12 356
32 [Zyrtec] 0.65 -0.11 446
33 [NAC] 0.52 -0.10 551
34 [Probiotics prebiotics] 0.59 -0.10 682
35 [Aspirin] 0.39 -0.10 545
36 [Glutathione] 0.46 -0.09 315
37 [Serrapeptase] 0.65 -0.08 249
38 [Sleeping with head of bed elevated] 0.53 -0.08 336
39 [VNS] 0.85 -0.07 332
40 [B vitamins] 0.51 -0.07 911
41 [Tylenol] 0.31 -0.06 560
42 [K vitamins] 0.36 -0.06 341
43 [Magnesium] 0.75 -0.06 935
44 [ALA] 0.45 -0.06 278
45 [Quercetin] 0.52 -0.06 570
46 [Multivitamin] 0.31 -0.06 567
47 [Compression garments] 0.73 -0.05 438
48 [CoQ10] 0.43 -0.05 608
49 [Curcumin] 0.46 -0.05 666
50 [Pacing strategies] 1.40 -0.04 734
51 [Vitamin D] 0.49 -0.04 1009
52 [Resveratrol] 0.44 -0.04 266
53 [Vitamin C] 0.42 -0.04 805
54 [Fish oil etc.] 0.43 -0.03 658
55 [Zinc] 0.43 -0.03 660
56 [Water and salt] 1.02 -0.02 723
57 [Meditation] 1.05 -0.02 708
58 [Prayer] 1.20 -0.02 368
59 [Glutenfree diet] 1.21 -0.01 492
60 [Low histamine diet] 1.29 -0.00 516

List of treatments that helped the most¶

The survey asked "What was the one treatment (or combination of treatments) that helped you the most?". I manually analyzed the answers of those who were mostly recovered. There is some subjectivity involved in that analysis.

I categorized treatments into groups (e.g. pacing strategies) so that they could be counted.

Some patients reported that multiple treatments helped the most. That is why the total count is much higher than the number of people who were mostly recovered.

For the defintion of 'mostly recovered', see the earlier section "Heatmap of severity during worst month versus severity during past 30 days".

Name of treatment(s) that helped the most Count
Fasting 12
No answer 10
Exercise 9
Time 9
Magnesium 6
NAC 6
Pacing strategies 6
Ivermectin 5
Meditation 5
Nattokinase 4
Rest 4
Diet 3
LDN 3
Maraviroc 3
Nicotine 3
Amitriptyline 2
Being outdoors more 2
Beta blocker 2
Black seed oil 2
Brain retraining 2
Brain retraining - Sarno 2
Bromelain 2
Diet- carnivore diet 2
Diet- clean diet 2
Diet- low histamine 2
Electrolytes 2
HBOT 2
No treatment helped 2
Statin 2
Stem cells 2
Triple anticoag 2
Vitamin D 2
Acceptance 1
Aciclovir 1
Advil 1
Angiotensin receptor blocking drugs (ARBs) 1
Anti-inflammatory diet 1
Anti-inflammatory meds 1
Antibiotics 1
Antidepressants 1
Antivirals 1
Aripiprazole (Abilify) 1
ASEA Redox 1
Ashwagandha 1
Avoiding alcohol and caffeine 1
Avoiding caffeine 1
Cardio Miracle 1
Cetirizine 1
Chlorella 1
Chlorine dioxide 1
Cleaning gut [Food and Cleaning Gut] 1
Cold plunges 1
Colostrum 1
Compression garments 1
Copper 1
Corticosteroids 1
Curcumin 1
Custom liquid herbal tinctures/supplements 1
De-stress 1
Diet- Low carb 1
Diet- low sugar 1
Elimination diet 1
Fluvoxamine 1
Getting COVID 1
Graded exposure therapy 1
Guaifenesin 1
Gut health supplements 1
HELP apheresis 1
High dose folic acid 1
Honey 1
Improving social relationships 1
Internal Family Systems psychotherapy 1
Itraconazole 1
Low processed food 1
Lysine 1
Massage therapy 1
Mebendazole 1
Melatonin 1
Methylene blue 1
Midodrine 1
Monoclonal antibodies 1
Neurolinguistic Programming 1
NSAID 1
Omega 3:6 ratio diet. 1
Optimism 1
Ovine Thymus extract 1
Paleo/keto diet 1
Paxlovid 1
Physical therapy 1
Plaquenil 1
Prayer 1
Prebiotics and Probiotics 1
Prebiotics and/or probiotics 1
Probiotics 1
Pycnogenol 1
Raw camel milk 1
Resveratrol 1
Sauna 1
Serrapeptase 1
Somatic Experiencing and touch work 1
Somatic therapy 1
Sunlight 1
Supplements (unspecified) 1
Trazodone 1
Valtrex 1
Vision rehab therapy 1
Vitamin B1 1
Wim Hof 1
Yogic breathing 1
Zyrtec 1

The survey asked "What was the one treatment (or combination of treatments) that helped you the most?". The answers of the mostly recovered have been paraphrased to reduce the length of long answers. My comments are in [brackets] to provide additional detail on the treatment mentioned.

Chronic illness Paraphrased answer to "What was the one treatment (or combination of treatments) that helped you the most?
Long COVID Rest
Long COVID No answer
Long COVID 18 day water only fast
Long COVID Consistent gentle exercise and supplements.
Long COVID Hope Biosciences stem cells + vision rehab therapy (concussion protocol)
Long COVID Time
Long COVID No answer
Long COVID Antivirals and antiinflammatory meds
Long COVID Somatic Experiencing, somatic touch work, Electrolytes
Long COVID magnesium, black seed oil
Long COVID No answer
Long COVID Exercise and time
Long COVID HBOT, LDN, physical therapy
Long COVID No answer
Long COVID Time
Long COVID Triple anti-coagulant therapy, HELP apheresis
Long COVID Magnesium glycinate
Long COVID Time. Avoid alcohol and caffeine. Eat low carb. Light excercise. Advil for flare ups. My long lasting condition is pericarditis.
Long COVID Time, fasting, ivermectin, black seed oil, honey, probiotics, vitamin D, copper, raw camel milk, colostrum, light exercise, massage therapy, magnesium, sunlight, de-stress, antiinflammatory diet
Long COVID No treatment helped
Long COVID Low sugar, low processed food, intermittent fasting, slow pacing with walking/running
Long COVID Anti histamine diet to lower inflammation - cold plunges to calm down the nervous system
Long COVID methylprednisolone taper then aripiprazole (Abilify); maraviroc + statin; triple anti-coagulant therapy
Long COVID NAC
Long COVID Time and rest
Long COVID Fluvoxamine + trazodone + 2.5mg melatonin insomnia (worst symptom)
Long COVID Bisoprolol [beta blocker]
Long COVID Time
Long COVID 1th=Mebendazole!! 2th=Pycnogenol [Mebendazole is an antiparasitic drug; Pycnogenol is a trademarked maritime pine bark extract]
Long COVID Meditation, Ashwagandha, magnesium, amitriptyline (for sleep) propranolol (for high heart rate - clean diet full of fruit and veg)
Long COVID Shotgun Elimination Diet(no processed food, no acidic food, no histamine food, lower amount of carbs, very little fibre most vegetables are cooked a lot)+(intermittent) fasting + de-stressing nervous system using meditation, wim hof, yogic breathing and prayer
Long COVID sauna [infrared and traditional], slowly increasing activity without getting to the point of over exertion.
Long COVID TMS [John Sarno's TMS program]
Long COVID Ovine Thymus extract
Long COVID Resting, pacing, and gratitude/optimism.
Long COVID When I started LDN and Valtrex around the same time, I began to see more improvement in overall pain and feelings of wellness.
Long COVID Lysine and Aciclovir. Also self injecting b12 took me up a level but it was the antivirals that helped me the most.
Long COVID [Diet with increased omega 3:6 ratio. Clean diet, no refined carbs, lean meat, grains, fermented foods. NAC+, nattokinase, Bromelain, Curcumin, vitamin d, magnesium, pre and probiotics, nicotine gum, exercise. Cetirizine.]
Long COVID No answer
Long COVID zyrtec brought relief within 10mins. recovery began after full 10day course of ivermectin. still take zyrtec occasionally for mild lingering symptoms after 2 years
Long COVID Nicotine patches, a long fast while on 2 strong antibiotics for diverticulitis, brain-training mixed with pacing, getting out in nature, and movement without doing too much
Long COVID Internal Family Systems + Neurolinguistic Programming + Dr Sarno's Mindbody Prescription (permanent cumulative improvement; everything else was temporary)
Long COVID Pacing, being more in the sun and fasting OMAD
Long COVID Graded exposure therapy, acceptance, meditation
Long COVID Plaquenil and Mobic [Meloxicam, a NSAID] brought me out of the pain, and the rest followed.
Long COVID No answer
Long COVID No answer
Long COVID High dose folic acid (20mg per day for up to 4 months) with b complex vitamins as co-factors. [...]
Long COVID antidepressants and avoid caffeine
Long COVID stopping exercise, (which was walking for me) if heart rate exceeded 80% of max heart rate increasing length of walk ridiculously slowly, one day rest between walk days [Note: this participant rated pacing strategies as significant improvement]
Long COVID meditation, intense pacing, betablocker [Note: this participant rated pacing strategies as significant improvement]
Long COVID Improving social relationships
ME/CFS No answer
ME/CFS Antihistaminicum NAC [Antihistaminicum is the Dutch word for antihistamine]
ME/CFS Itraconazole [antifungal drug]
ME/CFS Electrolytes, protein, fluid, non sleep deep rest, never ever crash, move/stretch every day where possible, compression socks, midon [midodrine], Amitriptyline.
ME/CFS [ Diet (LOW carbohydrate, high protein, very high fibre [4-6 cups veg a day], no sugar, gluten, dairy, caffeine or alcohol), Gut health supplementation, Lowering my stress levels holistically (meditation, lifestyle + relationship changes), TRE trauma + release therapy (somatic therapy), Brain retraining (The Switch) ]
Vaccine injured Ivermectin
Vaccine injured Fasting in combination with a well sourced (local farm) carnivore diet.
Vaccine injured Rest, custom liquid herbal tinctures/supplements and low histamine diet.
Vaccine injured Nicotine, [Augmented/Quantum] NAC and fasting
Vaccine injured NAC and Bromelain together
Vaccine injured Chlorella [*Type of algae that grows in fresh water.]
Vaccine injured Ivermectin, NAC, nattokinase, cardio miracle
Vaccine injured No treatment
Vaccine injured [ ASEA Redox ] At the end of October my mom discovered ASEA Redox and by Christmas I was SO MUCH BETTER!!!
Vaccine injured Getting covid for the first time (year after vaccine doses)
Vaccine injured [ Maraviroc, Statin and Plavix / clopidogrel resolved extremely debilitating brain inflammation ]
Vaccine injured Guaifenesin [OTC cough medicine], nattokinase, Resveratrol
Vaccine injured Vitamin b1
Vaccine injured Nattokinase and Serrapeptase
Vaccine injured Aviv HBoT 3-month protocol. [*Aviv likely refers to aviv-clinics.com; high pressure HBOT]
Vaccine injured LDN, methylene blue and chlorine dioxide.
Vaccine injured Fasting
Vaccine injured Dry fasting 72 hrs
Vaccine injured Paleo/keto diet.
Vaccine injured Time and fasting (1 meal a day or eating less)
Vaccine injured Time
Vaccine injured A combination of diet modifications, intermittent fasting and introducing of Gut Shot, Kifer [Kefir?], prebiotic (wildbrine) completely improved my digestive system.
Vaccine injured Dr Pattersons protocol [*Note: this person did not report results for statins or maraviroc in the survey questions, stated that maraviroc helped them in the freeform question about treatments not surveyed; stated not much benefit for ivermectin; it is unclear what their protocol was; ]
Vaccine injured Rest
Vaccine injured Stem cell therapy, 10 days of pax after a Re infection [Paxlovid], mabs at my worst [monoclonal antibodies]. Just believe I needed more mabs.
Vaccine injured No answer
Vaccine injured Food and Cleaning Gut.
Vaccine injured ARBs (candesartan, olmesartan) + magnesium
Vaccine injured Ivermectin
Vaccine injured Carnivore diet

Outdated Dec 2023 analysis of "What was the one treatment (or combination of treatments) that helped you the most?"¶

Please visit https://forum.sickandabandoned.com/t/what-treatments-helped-the-most-some-prelim-patient-experiences-survey-data/351 for that analysis with some commentary.

Questions?  Please email glennchan /at/ gmail [dot] com

Please visit the Sick and Abandoned.com website's research section - https://sickandabandoned.com/pes-slides/ - to find publications / analyses of this data. Thank you.