Literature DB >> 34216861

The association of type of cannabis product used and frequency of use with problematic cannabis use in a sample of young adult cannabis users.

Kelsey A Simpson1, Junhan Cho2, Jessica L Barrington-Trimis2.   

Abstract

Research exploring patterns and predictors of problematic cannabis use behaviors among young adults is limited. This knowledge is essential for intervening to prevent abuse and dependence outcomes.
METHODS: Young adult cannabis users (Mage = 19.2[SD = 0.8]) in Southern California (N = 1007) were classified by patterns of problematic cannabis use from the Cannabis Abuse Screening Test, using Latent Class Analysis. Multinomial regression evaluated the association of frequency of use (no past 30 day use, infrequent [use on 1-2 of past 30 days], semi-frequent [use on 3-9 of the past 30 days], and frequent [use on 10 or more of the past 30 days]) for each cannabis product type (combustible, edible, vaporized, concentrate, blunt) with class membership.
RESULTS: Four distinct classes of cannabis-related problems were identified: "non-symptomatic" (no problems; 33.8 %), "non-recreational use" (before noon and when alone; 34.5 %), "moderate use problems" (before noon, alone, and memory problems; 8.0 %), and "severe cannabis problems" (all 6 problems; 23.7 %). Semi-frequent (AOR range: 1.85-4.63;ps<0.05) and frequent (AOR range: 9.18-24.2;ps<0.05) use of combustible and vaporized cannabis, frequent blunt use (AORs range: 4.03-10.3;ps<0.05), and semi-frequent, but not frequent edible use (AOR range: 2.57-2.73;ps<0.05) was associated with higher odds of classification in any problematic use class (vs. non-symptomatic).
CONCLUSIONS: Differences in cannabis use problems across these classes and their predictors reveal the heterogeneity in cannabis-related problems experienced by young people. Combustible cannabis, vaporized cannabis, and blunt cannabis use may confer the most risk for cannabis abuse and dependency outcomes, with more frequent days of use contributing to increased patterns of risk.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cannabis; Latent class analysis; Problematic cannabis use; Young adults

Mesh:

Year:  2021        PMID: 34216861      PMCID: PMC8355167          DOI: 10.1016/j.drugalcdep.2021.108865

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.852


  37 in total

1.  How to screen for problematic cannabis use in population surveys: an evaluation of the Cannabis Use Disorders Identification Test (CUDIT) in a Swiss sample of adolescents and young adults.

Authors:  B Annaheim; J Rehm; G Gmel
Journal:  Eur Addict Res       Date:  2008-06-27       Impact factor: 3.015

2.  Assessing the structure of the CAST (Cannabis Abuse Screening Test) in 13 European countries using multigroup analyses.

Authors:  Stéphane Legleye; Aida Eslami; Stéphanie Bougeard
Journal:  Int J Methods Psychiatr Res       Date:  2016-12-15       Impact factor: 4.035

3.  User characteristics and effect profile of Butane Hash Oil: An extremely high-potency cannabis concentrate.

Authors:  Gary C K Chan; Wayne Hall; Tom P Freeman; Jason Ferris; Adrian B Kelly; Adam Winstock
Journal:  Drug Alcohol Depend       Date:  2017-06-08       Impact factor: 4.492

4.  Characterising heterogeneity in the use of different cannabis products: latent class analysis with 55 000 people who use cannabis and associations with severity of cannabis dependence.

Authors:  Sam Craft; Adam Winstock; Jason Ferris; Clare Mackie; Michael T Lynskey; Tom P Freeman
Journal:  Psychol Med       Date:  2019-10-13       Impact factor: 7.723

Review 5.  Changing landscape of cannabis: novel products, formulations, and methods of administration.

Authors:  Tory R Spindle; Marcel O Bonn-Miller; Ryan Vandrey
Journal:  Curr Opin Psychol       Date:  2019-04-09

6.  Association Between Recreational Marijuana Legalization in the United States and Changes in Marijuana Use and Cannabis Use Disorder From 2008 to 2016.

Authors:  Magdalena Cerdá; Christine Mauro; Ava Hamilton; Natalie S Levy; Julián Santaella-Tenorio; Deborah Hasin; Melanie M Wall; Katherine M Keyes; Silvia S Martins
Journal:  JAMA Psychiatry       Date:  2020-02-01       Impact factor: 21.596

7.  A comparison of the latent class structure of cannabis problems among adult men and women who have used cannabis repeatedly.

Authors:  Julia D Grant; Jeffrey F Scherrer; Rosalind J Neuman; Alexandre A Todorov; Rumi K Price; Kathleen K Bucholz
Journal:  Addiction       Date:  2006-08       Impact factor: 6.526

8.  Association of Electronic Cigarette Use With Initiation of Combustible Tobacco Product Smoking in Early Adolescence.

Authors:  Adam M Leventhal; David R Strong; Matthew G Kirkpatrick; Jennifer B Unger; Steve Sussman; Nathaniel R Riggs; Matthew D Stone; Rubin Khoddam; Jonathan M Samet; Janet Audrain-McGovern
Journal:  JAMA       Date:  2015-08-18       Impact factor: 56.272

9.  Motivations to quit cannabis use in an adult non-treatment sample: are they related to relapse?

Authors:  Emeline Chauchard; Kenneth H Levin; Marc L Copersino; Stephen J Heishman; David A Gorelick
Journal:  Addict Behav       Date:  2013-04-16       Impact factor: 3.913

10.  Exploring cannabis concentrates on the legal market: User profiles, product strength, and health-related outcomes.

Authors:  L Cinnamon Bidwell; Sophie L YorkWilliams; Raeghan L Mueller; Angela D Bryan; Kent E Hutchison
Journal:  Addict Behav Rep       Date:  2018-08-17
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