Associations between Cannabis Consumption Methods and Cannabis Risk Perception.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
27 Jul 2024
Historique:
received: 14 06 2024
revised: 18 07 2024
accepted: 24 07 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: epublish

Résumé

Given diversified cannabis products, we examined associations between cannabis consumption methods and cannabis risk perception of smoking cannabis 1-2 times a week. Using the 2022 U.S. National Survey on Drug Use and Health data (N = 12,796 past-year adult cannabis users; M = 6127 and F = 6669), we used multinomial and binary logistic regression models. Smoking was the most prevalent method, followed by eating/drinking, vaping, and dabbing. One-half of cannabis users reported no perceived risk of smoking cannabis 1-2 times a week, 37.5% perceived slight risk, 9.2% moderate risk, and 2.9% great risk. Those with moderate or great risk perception had a lower likelihood of using 4+ methods of consumption (e.g., RRR = 0.40, 95% CI = 0.20, 0.77 for great risk perception). Any perceived risk was associated with higher odds of edibles/drinks only (e.g., aOR = 2.81, 95% CI = 1.43, 5.54 for great risk perception). Along with medical use and CUD, sociodemographic factors, mental illness, and other substance use were also significant correlates of cannabis consumption methods. Understanding the varying risk perceptions associated with different consumption methods is needed for harm reduction initiatives. More research is needed on cannabis products, particularly edibles/drinks and dabs/concentrates, to better understand the potential risks associated with them.

Identifiants

pubmed: 39200597
pii: ijerph21080986
doi: 10.3390/ijerph21080986
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Namkee G Choi (NG)

Steve Hicks School of Social Work, University of Texas at Austin, Austin, TX 78712, USA.

C Nathan Marti (CN)

Steve Hicks School of Social Work, University of Texas at Austin, Austin, TX 78712, USA.

Bryan Y Choi (BY)

Department of Emergency Medicine, Philadelphia College of Osteopathic Medicine and BayHealth, Dover, DL 19901, USA.

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Classifications MeSH