| Literature DB >> 34795334 |
Joseph M Rootman1, Pamela Kryskow2, Kalin Harvey3, Paul Stamets4, Eesmyal Santos-Brault3, Kim P C Kuypers5, Vince Polito6, Francoise Bourzat7, Zach Walsh8.
Abstract
The use of psychedelic substances at sub-sensorium 'microdoses', has gained popular academic interest for reported positive effects on wellness and cognition. The present study describes microdosing practices, motivations and mental health among a sample of self-selected microdosers (n = 4050) and non-microdosers (n = 4653) via a mobile application. Psilocybin was the most commonly used microdose substances in our sample (85%) and we identified diverse microdose practices with regard to dosage, frequency, and the practice of stacking which involves combining psilocybin with non-psychedelic substances such as Lion's Mane mushrooms, chocolate, and niacin. Microdosers were generally similar to non-microdosing controls with regard to demographics, but were more likely to report a history of mental health concerns. Among individuals reporting mental health concerns, microdosers exhibited lower levels of depression, anxiety, and stress across gender. Health and wellness-related motives were the most prominent motives across microdosers in general, and were more prominent among females and among individuals who reported mental health concerns. Our results indicate health and wellness motives and perceived mental health benefits among microdosers, and highlight the need for further research into the mental health consequences of microdosing including studies with rigorous longitudinal designs.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34795334 PMCID: PMC8602275 DOI: 10.1038/s41598-021-01811-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Consort flow chart depicting sample sizes at different levels of analysis.
Demographic characteristics.
| Microdosers ( | Non-microdosers ( | |
|---|---|---|
| Male | 76.4% (3060) | 77.4% (3575) |
| Female | 23.0% (920) | 22.0% (1018) |
| Transgender/non-binary/other | 0.6% (25) | 0.6% (28) |
| Straight/heterosexual | 88.8% (3595) | 89.9% (4184) |
| LGBTQ2S+ | 11.2% (455) | 10.1% (469) |
| 18–24* | 19.1% (765) | 25.1% (1160) |
| 25–54* | 69.9% (2800) | 64.4% (2974) |
| 55+ | 10.9% (438) | 10.5% (485) |
| Full-time | 62.5% (2503) | 62.8% (2905) |
| Part-time | 12.5% (502) | 12.1% (561) |
| Student* | 9.2% (370) | 11.0% (508) |
| Other | 15.8% (633) | 14.1% (653) |
| Under $10,000 | 6.6% (252) | 6.9% (301) |
| $10,000-$29,999 | 17.2% (652) | 17.1% (749) |
| $30,000-$89,999 | 44.7% (1699) | 44.3% (1937) |
| Above $90,000 | 31.5% (1198) | 31.6% (1383) |
| Graduate degree | 13.6% (536) | 13.2% (601) |
| Post-secondary | 55.2% (2179) | 54.2% (2476) |
| Secondary | 29.2% (1154) | 31.1% (1423) |
| Less than secondary education | 2.0% (80) | 1.5% (70) |
| Suburban* | 39.5% (1558) | 44.9% (2047) |
| Urban* | 45% (1776) | 40.4% (1842) |
| Rural | 15.5% (612) | 14.6% (667) |
On variables with missing data, percentages reflect proportions of the total valid, non-missing, responses within a category.
*p < 0.01.
Mental health and substance use.
| Microdosers ( | Non-microdosers ( | All ( | |
|---|---|---|---|
| Any** | 32% (1261) | 27% (1222) | 29% (2483) |
| Anxiety | 22% (878) | 18% (810) | 20% (1688) |
| Depression** | 21% (842) | 17% (754) | 19% (1596) |
| PTSD/trauma-related** | 10% (405) | 7% (328) | 9% (733) |
| Tobacco dependence* | 6% (252) | 6% (284) | 6% (536) |
| Cannabis dependence | 6% (246) | 5% (247) | 6% (493) |
| Alcohol dependence | 4% (170) | 3% (152) | 4% (322) |
| Opioid dependence | 3.5% (44) | 2.5% (30) | 3% (74) |
| Gambling dependence | 0.7% (9) | 0.9% (11) | 0.8% (20) |
| Panic attacks | 4% (164) | 3% (149) | 4% (313) |
| Schizophrenia | 0.7% (9) | 0.7% (9) | 0.7% (18) |
| Bipolar disorder | 6.4% (81) | 6.5% (80) | 6.5% (161) |
| Eating disorder | 7.3% (92) | 7.3% (89) | 7.3% (181) |
| Learning disorder | 5.5% (69) | 5.7% (70) | 5.6% (139) |
| Autism spectrum disorder | 2% (25) | 2.1% (26) | 2.1% (51) |
| 18% (716) | 20% (950) | 19% (1666) | |
| ≤ 2× week** | 62% (2514) | 65% (3023) | 64% (5537) |
| Never** | 20% (820) | 15% (678) | 17% (1498) |
| 43% (1749) | 40% (1858) | 41% (3607) | |
| ≤ 2× week* | 35% (1422) | 37% (1731) | 36% (3153) |
| Never | 22% (879) | 23% (1063) | 22% (1942) |
| Once per day or more | 20% (819) | 20% (946) | 20% (1765) |
| Never* | 60% (2411) | 57% (2666) | 58% (5077) |
On variables with missing data, percentages reflect proportions of the total valid, non-missing, responses within a category.
*p < 0.05, **p < 0.01.
Figure 2Microdosing and mental health. Note: **p < 0.01, n = 1651, anxiety, depression and stress drawn from DASS-21 subscales (range: 0–42).
Microdosing motives of respondents with and without mental health concerns.
| No mental health concerns ( | Has mental health concerns ( | All ( | |
|---|---|---|---|
| Enhance mindfulness | 82.0% (2184) | 84.9% (1070) | 82.9% (3356) |
| Improve mood** | 70.6% (1882) | 87.3% (1104) | 76.1% (3083) |
| Enhance creativity | 75.3% (2006) | 72.2% (911) | 74.1% (3000) |
| Enhance learning** | 60.0% (1599) | 54.6% (688) | 58.1% (2353) |
| Decrease anxiety** | 47.0% (1252) | 78.0% (984) | 57.4% (2325) |
| Improve health habits** | 41.9% (1116) | 53.0% (668) | 45.6% (1846) |
| Decrease procrastination** | 40.4% (1077) | 53.1% (669) | 44.6% (1807) |
| Increase sociability** | 39.9% (1063) | 51.3% (647) | 43.6% (1767) |
| Improve sleep** | 25.4% (678) | 33.1% (418) | 28.2% (1141) |
| Decrease substance use** | 18.3% (489) | 41.5% (523) | 25.8% (1046) |
**p < 0.01.
Microdosing practices.
| LSD ( | Psilocybin ( | All ( | |
|---|---|---|---|
| High** | 7.6% (34) | 12.5% (435) | 11.9% (469) |
| Medium** | 40.1% (179) | 71.6% (2497) | 30.7% (2676) |
| Low** | 52.2% (233) | 15.9% (352) | 20.0% (787) |
| 5 or more times per week** | 6.5% (29) | 23.0% (800) | 21.4% (866) |
| 1–4 times per week** | 83.9% (375) | 72.4% (2520) | 73.1% (2959) |
| Combination/ stacking* | 26.0% (115) | 54.7% (1890) | 51.1% (2049) |
| Enhance mindfulness | 84.1% (376) | 82.8% (2888) | 82.9% (3356) |
| Improve mood | 76.3% (341) | 76.1% (2652) | 76.1% (3083) |
| Enhance creativity | 76.1% (340) | 74.0% (2580) | 74.1% (3000) |
| Enhance learning | 57.7% (258) | 58.5% (2038) | 58.1% (2353) |
| Decrease anxiety** | 46.1% (206) | 58.9% (2052) | 57.4% (2325) |
| Improve health habits | 44.7% (200) | 45.6% (1589) | 45.6% (1846) |
| Decrease procrastination | 46.3% (207) | 44.4% (1549) | 44.6% (1807) |
| Increase sociability | 46.1% (206) | 43.1% (1503) | 43.6% (1767) |
| Improve sleep** | 21.5% (96) | 28.8% (1003) | 28.2% (1141) |
| Decrease substance use | 21.9% (98) | 26.2% (912) | 25.8% (1046) |
On variables with missing data, percentages reflect proportions of the total valid, non-missing, responses within a category.
*p < 0.05, **p < 0.01.