| Literature DB >> 32116806 |
James D Sexton1, Charles D Nichols2, Peter S Hendricks1.
Abstract
INTRODUCTION: The majority of contemporary psychedelic research has focused on ayahuasca, lysergic acid diethylamide, and psilocybin, though there are hundreds of novel psychedelic compounds that may have clinical utility. The purpose of the present study was to evaluate the therapeutic potential of classic and novel phenethylamine, tryptamine, and lysergamide psychedelics via a large, nationally representative population-based survey.Entities:
Keywords: lysergamides; mental health outcomes; phenethylamines; psychedelic-assisted therapy; tryptamines
Year: 2020 PMID: 32116806 PMCID: PMC7026018 DOI: 10.3389/fpsyt.2019.00896
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Psychedelic compounds reported by respondents from the 2008–2017 National Survey on Drug Use and Health (NSDUH), respective NSDUH codes, and citations to supporting literature.
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| Peyote (code 602; variable PEYOTE2) | NBOMe: Otherwise Unspecified (code 6203) | 4-AcO-DiPT (code 6177) |
| San Pedro (code 6077) | TCB-2 (code 6180) | 4-AcO-DMT (code 6171, 6178) |
| Mescaline (code 603; variable MESC) | Bromo-DragonFly (code 6176) | 4-AcO-MET (code 6202) |
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| DOC (code 6169) | 5-MeO-DALT (code 6183) |
| 2C-B (code 698) | DOB (code 6173) | 5-MeO-DiPT (code 6130) |
| 2C-C (code 6197, 6139) | DOI (code 6168) | 5-MeO-DMT (code 6061) |
| 2C-D (code 6154) | DOM (code 636) | 5-MeO-MiPT (code 6192) |
| 2C-E (code 6138) |
| 5-MeO: Otherwise Unspecified (code 6146) |
| 2C-I (code 6126) | Psilocybin (code 604; variable PSILCY2) |
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| 2C-P (code 6182) | DMT (code 616) | LSD (code 601; variable LSDFLAG) |
| 2C-T-2 (code 6112) | Ayahuasca (code 6103) | |
| 2C-T-7 (code 6100) |
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| 2C-T-21(code 6172) | DPT (code 6141) | 1P-LSD (code 6209) |
| 2C-x (code 6143) | DiPT (code 6144) | LSZ (code 6195) |
| 2C-T (code 6159) | MiPT (code 6140) | AL-LAD (code 6200) |
| 2C-F (code 6190) | 4-HO-DET (code 6201) | ALD-52 (code 652) |
| 25i-NBOMe (code 6185) | 4-HO-DiPT (code 6175) | |
| 25b-NBOMe (code 6188) | 4-HO-MET (code 6181) | |
| 25c-NBOMe (code 6189) | 4-HO-MiPT (code 6179) |
Weighted frequencies of lifetime use of each psychedelic category and lifetime use of specific substances within each of these categories from the 2008–2017 NSDUH.
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| 5-MeO-DALT (530; 0.0002%) | ||
| Peyote (5,619,308; 2.2%) | DOC (4,994; 0.002%) | 5-MeO-DiPT (2,544; 0.001%) |
| San Pedro (13,513; 0.005%) | DOB (5,181; 0.002%) | 5-MeO-DMT (7,889; 0.003%) |
| Mescaline (8,158,409; 3.1%) | DOI (1,549; 0.0006%) | 5-MeO-MiPT (9,383; 0.004%) |
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| DOM (16,630; 0.006%) | 5-MeO: OU (2,392; 0.0009%) |
| (277,683; |
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| 2C-C (876; 0.0003) | Psilocybin (22,053,740; 8.5%) | LSD |
| 2C-D (406; 0.0002%) | DMT (252,452; 0.1%) | |
| 2C-E (58,969; 0.02%) | Ayahuasca (52,122; 0.02%) |
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| 2C-I (99,203; 0.04%) |
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| 2C-P (10,030; 0.004%) |
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| 2C-T-2 (5,158; 0.002%) |
| 1P-LSD (153; 0.00006%) |
| 2C-T-7 (7,319; 0.003%) | LSZ (1,370; 0.0005%) | |
| 2C-T-21 (1,290; 0.0005%) | DPT (455; 0.0002%) | AL-LAD (248; 0.0001%) |
| 2C-X (0; 0.0%) | DiPT (166; 0.00006%) | ALD-52 (466; 0.0002%) |
| 2C-T (1,400; 0.0005%) | MiPT (0; 0.0%) | |
| 2C-F (124; 0.00005%) | 4-HO-DET (1,495; 0.0006%) | |
| 25i-NBOMe (27,020; 0.01%) | 4-HO-DiPT (513; 0.0002%) | |
| 25b-NBOMe (2,878; 0.001%) | 4-HO-MET (930; 0.0004%) | |
| 25c-NBOMe (4,827; 0.002%) | 4-HO-MiPT (357; 0.0001%) | |
| NBOMe: OU (3,124; 0.001%) | 4-AcO-DiPT (0; 0.0%) | |
| TCB-2 (1,956; 0.0008%) | 4-AcO-DMT (7,141; 0.003%) | |
| Bromo-DragonFly (1,598; 0.0006%) | 4-AcO-MET (252; 0.0001%) | |
Frequencies reported here are formatted as such: (weighted N’s; weighted %’s of total US population; OU, Otherwise Unspecified).
Figure 1Results of multivariate logistic regression models predicting past month psychological distress and past year suicidality. (A) Result of multivariate logistic regression model predicting past month psychological distress (unweighted n = 356,046). (B) Result of multivariate logistic regression model predicting past year suicidal thinking (unweighted n = 354,580). (C) Result of multivariate logistic regression model predicting past year suicidal planning (unweighted n = 354,555). (D) Result of multivariate logistic regression model predicting past year suicide attempt (unweighted n = 354,552). Each plotted shape relates to the drug category and represent weighted adjusted odds ratio point estimates and error bars are 95% confidence intervals. Associations are adjusted for the following covariates: age in years (12–17, 18–25, 26–34, 35–49, 50–64, or 65 or older); sex (male or female); ethnoracial identity (non-Hispanic White, non-Hispanic African American, non-Hispanic Native American/Alaska Native, non-Hispanic Native Hawaiian/Pacific Islander, non-Hispanic Asian, non-Hispanic more than one race, or Hispanic); educational attainment (5th grade or less, 6th grade, 7th grade, 8th grade, 9th grade, 10th grade, 11th grade, 12th grade, freshman college year, sophomore or junior college year, or senior college year or more); annual household income (less than $20,000, $20,000–$49,999, $50,000–$74,999, or $75,000 or more); marital status (married, divorced/separated, widowed, or never married); self-reported engagement in risky behavior (“How often do you like to test yourself by doing something a little risky?”; never, seldom, sometimes, or always); and lifetime use of cocaine, other stimulants, sedatives, tranquilizers, heroin, pain relievers, marijuana, phencyclidine (PCP), 3,4-methylenedioxymethamphetamine (MDMA/ecstasy), and inhalants (each aforementioned drug category coded as separate covariates). Associations of covariates with psychological distress and suicidality are not reported here. The associations of lifetime novel lysergamide use are not evaluated here as noted in the Discussion.