Literature DB >> 36114976

Substance-Specific Risk Factors for Cannabis and Alcohol Use Among Young Adults Following Implementation of Nonmedical Cannabis Legalization.

Michael S Gilson1, Jason R Kilmer2, Charles B Fleming2, Isaac C Rhew2, Brian H Calhoun2, Katarina Guttmannova2.   

Abstract

Laws regarding cannabis are rapidly changing in the USA as more states legalize nonmedical cannabis for adults aged 21 and older. Previous research has examined whether legalization has led to an increase in cannabis use as well as the use of other substances. The current study examined changes in cannabis- and alcohol-specific risk factors following legalization of nonmedical cannabis. We used 6 years of annual cross-sectional data (2014-2019) from 12,951 young adults age 18 to 25 who resided in Washington state. Risk factors examined include perceiving that use was common among same-age peers, believing use was acceptable, having easy access, and low perceived physical and psychological harm from use. Logistic regression models estimated annual rate of increase in these risk factors. All cannabis-specific risk factors increased among those aged 21+ (range of ORs for annual rate of change: 1.07-1.31) while significant increase in cannabis-related risk factors among those under age 21 was limited to perceptions of cannabis use being common (medical use: OR=1.08, 95% CI: 1.03, 1.12; nonmedical use: OR=1.13, 95% CI: 1.08, 1.18) and low perceived physical harm of occasional use (OR=1.08, 95% CI: 1.03, 1.13). Although descriptive norms for past-year use of alcohol among those aged 21+ increased (OR = 1.09, 95% CI: 1.02, 1.17), other risk factors for alcohol did not change significantly or, in the case of low perceived physical and psychological harm, decreased among both those under age 21 and those aged 21+ (range of ORs = 0.90-0.94). Given these findings show an increase in cannabis-specific risk factors since legalization was implemented, particularly among those young adults aged 21+, preventive interventions correcting risk misperceptions and related risk factors among young adults aged 21+ may prove efficacious in reducing use and resultant negative consequences.
© 2022. Society for Prevention Research.

Entities:  

Year:  2022        PMID: 36114976     DOI: 10.1007/s11121-022-01435-8

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  15 in total

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Journal:  J Subst Abuse       Date:  2001

2.  Using Existing Data to Advance Knowledge About Adolescent and Emerging Adult Marijuana Use in the Context of Changes in Marijuana Policies.

Authors:  Katarina Guttmannova; Abenaa Acheampong Jones; Julie K Johnson; Sabrina Oesterle; Renee M Johnson; Silvia S Martins
Journal:  Prev Sci       Date:  2019-02

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Journal:  Int J Drug Policy       Date:  2020-02-26

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Authors:  Wayne Hall; Michael Lynskey
Journal:  Addiction       Date:  2016-06-07       Impact factor: 6.526

5.  The Interplay Between Marijuana-Specific Risk Factors and Marijuana Use Over the Course of Adolescence.

Authors:  Katarina Guttmannova; Martie L Skinner; Sabrina Oesterle; Helene R White; Richard F Catalano; J David Hawkins
Journal:  Prev Sci       Date:  2019-02

6.  Comparing characteristics and outcomes of different opioid agonist treatment modalities among opioid-dependent federal men correctional populations in Canada.

Authors:  Shanna Farrell MacDonald; Cayley Russell; Tara Beauchamp; Dena Derkzen; Benedikt Fischer
Journal:  Int J Drug Policy       Date:  2021-10-14

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Authors:  J D Hawkins; R F Catalano; J Y Miller
Journal:  Psychol Bull       Date:  1992-07       Impact factor: 17.737

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Authors:  J G Bachman; L D Johnson; P M O'Malley
Journal:  Am J Public Health       Date:  1998-06       Impact factor: 9.308

9.  Mapping cannabis potency in medical and recreational programs in the United States.

Authors:  Mary Catherine Cash; Katharine Cunnane; Chuyin Fan; E Alfonso Romero-Sandoval
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

Review 10.  Stand-Alone Personalized Normative Feedback for College Student Drinkers: A Meta-Analytic Review, 2004 to 2014.

Authors:  Keri B Dotson; Michael E Dunn; Clint A Bowers
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

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