Cannabis Use, Cannabis Use Disorder, and Comorbid Psychiatric Illness: A Narrative Review DOI Open Access
Deborah S. Hasin, Claire Walsh

Journal of Clinical Medicine, Journal Year: 2020, Volume and Issue: 10(1), P. 15 - 15

Published: Dec. 23, 2020

Background: The landscape of attitudes, legal status and patterns use cannabis is rapidly changing in the United States elsewhere. Therefore, primary aim this narrative review to provide a concise overview literature on comorbidity disorder (CUD) with other substance psychiatric disorders, information accurately guide future directions for field. Methods: A PubMed was conducted studies relating use, CUD, co-occurring disorder. To an representative data, focused national-level, population-based work from National Epidemiologic Survey Alcohol Related Conditions (NESARC) Drug Use Health (NSDUH) surveys. Considering laws, recent (past five-year) were addressed. Results: strong body shows associations between CUD drug psychosis, mood anxiety personality disorders. strongest evidence potential causal relationship exists psychotic While some directionality results are inconsistent. Studies have established higher rates among those but little about specifics understood. Conclusions: Although general population increasingly perceives be harmless substance, empirical that associated both comorbid illness. However, there mixed regarding role etiology, course, prognosis across all categories Future research should expand existing representative, longitudinal order better understand acute long-term effects

Language: Английский

Loose regulation of medical marijuana programs associated with higher rates of adult marijuana use but not cannabis use disorder DOI
Arthur Robin Williams, Julián Santaella-Tenorio, Christine Mauro

et al.

Addiction, Journal Year: 2017, Volume and Issue: 112(11), P. 1985 - 1991

Published: June 10, 2017

Most US states have passed medical marijuana laws (MMLs), with great variation in program regulation impacting enrollment rates. We aimed to compare changes rates of use, heavy use and cannabis disorder across age groups while accounting for whether enacted medicalized (highly regulated) or non-medical mml programs.Difference-in-differences estimates time-varying state-level MML coded by type (medicalized versus non-medical). Multi-level linear regression models adjusted random effects covariates as well historical trends use.Nation-wide cross-sectional survey data from the National Survey Drug Use Health (NSDUH) restricted portal aggregated at state level.Participants comprised 2004-13 NSDUH respondents (n ~ 67 500/year); 12-17, 18-25 26+ years. States had implemented eight 15 programs.Primary outcome measures included (1) active (past-month) use; (2) (> 300 days/year); (3) diagnosis, based on DSM-IV criteria. Covariates type, group characteristics throughout study period.Adults years living programs increased past-month 1.46% (from 4.13 6.59%, P = 0.01), skewing towards greater 2.36% 14.94 17.30, 0.09) after MMLs were enacted. However, no associated increase prevalence was found during period. Our findings do not show increases among adults programs. Additionally, there adolescent young adult outcomes following passage, irrespective type.Non-medical are but only aged Researchers policymakers should consider subgroup (i.e. demographics) when assessing population level outcomes.

Language: Английский

Citations

96

Terpenoids, Cannabimimetic Ligands, beyond the Cannabis Plant DOI Creative Commons
Elaine Cristina Dalazen Gonçalves, Gabriela Mantovani Baldasso, Maíra A. Bicca

et al.

Molecules, Journal Year: 2020, Volume and Issue: 25(7), P. 1567 - 1567

Published: March 29, 2020

Medicinal use of

Language: Английский

Citations

94

Age Differences in Daily and Nondaily Cannabis Use in the United States, 2002–2014 DOI
Pia M. Mauro, Hannah Carliner, Qiana L. Brown

et al.

Journal of Studies on Alcohol and Drugs, Journal Year: 2018, Volume and Issue: 79(3), P. 423 - 431

Published: May 1, 2018

Objective: Adult cannabis use has increased in the United States since 2002, particularly after 2007, contrasting with stable/declining trends among youth. We investigated whether specific age groups disproportionately contributed to changes daily and nondaily trends. Method: Participants ages 12 older (N = 722,653) from 2002–2014 National Survey on Drug Use Health reported past-year frequency (i.e., ≥300 days/year; 1–299 none). Multinomial logistic regression was used model change prevalence by group 12–17, 18–25, 26–34, 35–49, 50–64, ≥65), before 2007. regressions estimated relative odds of over time age, adjusting for other sociodemographics. Results: Daily decreased 12–17 2007 significantly across adult categories only Increases did not differ 18–64 ranged between 1 2 percentage points. Nondaily respondents 12–25 35–49 adults 26–34 4.5 points). Adjusted versus 12–64. Conclusions: were context increasingly permissive legislation, attitudes, lower risk perception. Although any may be decreasing teens, more frequent users 12–64 Studies should assess use, but also target prevention efforts adverse effects that are especially likely users.

Language: Английский

Citations

92

Mechanisms Underlying Sex Differences in Cannabis Use DOI
Katina C. Calakos, Shivani Bhatt, Dawn W. Foster

et al.

Current Addiction Reports, Journal Year: 2017, Volume and Issue: 4(4), P. 439 - 453

Published: Oct. 19, 2017

Language: Английский

Citations

90

Cannabis Use, Cannabis Use Disorder, and Comorbid Psychiatric Illness: A Narrative Review DOI Open Access
Deborah S. Hasin, Claire Walsh

Journal of Clinical Medicine, Journal Year: 2020, Volume and Issue: 10(1), P. 15 - 15

Published: Dec. 23, 2020

Background: The landscape of attitudes, legal status and patterns use cannabis is rapidly changing in the United States elsewhere. Therefore, primary aim this narrative review to provide a concise overview literature on comorbidity disorder (CUD) with other substance psychiatric disorders, information accurately guide future directions for field. Methods: A PubMed was conducted studies relating use, CUD, co-occurring disorder. To an representative data, focused national-level, population-based work from National Epidemiologic Survey Alcohol Related Conditions (NESARC) Drug Use Health (NSDUH) surveys. Considering laws, recent (past five-year) were addressed. Results: strong body shows associations between CUD drug psychosis, mood anxiety personality disorders. strongest evidence potential causal relationship exists psychotic While some directionality results are inconsistent. Studies have established higher rates among those but little about specifics understood. Conclusions: Although general population increasingly perceives be harmless substance, empirical that associated both comorbid illness. However, there mixed regarding role etiology, course, prognosis across all categories Future research should expand existing representative, longitudinal order better understand acute long-term effects

Language: Английский

Citations

87