Motives for Cannabis Use and Risky Decision Making Influence Cannabis Use Trajectories in Teens

Overview

Journal Brain Sci

Publisher MDPI

Date 2023 Oct 28

PMID 37891774

Authors

Sarah M Lehman

Erin L Thompson

Ashley R Adams

Samuel W Hawes

Ileana Pacheco-Colon

Karen Granja

Dayana C Paula

Raul Gonzalez

Affiliations

Soon will be listed here.

Abstract

The current study will examine the interactive effects of motives for cannabis use (i.e., health or recreational) and risky decision making (DM) on cannabis use trajectories among adolescents. Data from 171 adolescents, aged 14-17 at the initial visit (baseline), were prospectively analyzed across five time points approximately six months apart. Latent growth curve modeling and linear regression analyses were used. We found a significant interactive effect of "recreational motives" and risky DM on the rate of cannabis use over time. Specifically, among those less likely to use cannabis for recreational purposes, riskier DM was associated with a faster increase in the rate of use over time relative to those with lower risky DM. Additionally, a significant main effect showed that those with a greater proclivity to use cannabis for health purposes had higher initial levels of use at baseline and faster increases in the rate of use over time. Regardless of risky DM, using cannabis for health purposes is associated with faster increases in cannabis use escalation. Additionally, risky DM does impact the association between recreational motives for use and cannabis use trajectories. Future work should examine these associations with additional motives for cannabis use that have been previously validated within the literature.

References

Thompson E, Adams A, Pacheco-Colon I, Lopez-Quintero C, Limia J, Pulido W . An exploratory follow-up study of cannabis use and decision-making under various risk conditions within adolescence. Neuropsychology. 2023; 37(5):544-556. PMC: 10313741. DOI: 10.1037/neu0000897. View

Brand M, Grabenhorst F, Starcke K, Vandekerckhove M, Markowitsch H . Role of the amygdala in decisions under ambiguity and decisions under risk: evidence from patients with Urbach-Wiethe disease. Neuropsychologia. 2006; 45(6):1305-17. DOI: 10.1016/j.neuropsychologia.2006.09.021. View

Blest-Hopley G, Giampietro V, Bhattacharyya S . A Systematic Review of Human Neuroimaging Evidence of Memory-Related Functional Alterations Associated with Cannabis Use Complemented with Preclinical and Human Evidence of Memory Performance Alterations. Brain Sci. 2020; 10(2). PMC: 7071506. DOI: 10.3390/brainsci10020102. View

Cascio C, Carp J, Brook ODonnell M, Tinney Jr F, Bingham C, Shope J . Buffering social influence: neural correlates of response inhibition predict driving safety in the presence of a peer. J Cogn Neurosci. 2014; 27(1):83-95. PMC: 4719161. DOI: 10.1162/jocn_a_00693. View

Solowij N, Jones K, Rozman M, Davis S, Ciarrochi J, Heaven P . Reflection impulsivity in adolescent cannabis users: a comparison with alcohol-using and non-substance-using adolescents. Psychopharmacology (Berl). 2011; 219(2):575-86. DOI: 10.1007/s00213-011-2486-y. View

Thayer R, Feldstein Ewing S . Adolescent psychotherapy for addiction medicine: From brain development to neurocognitive treatment mechanisms. Prog Brain Res. 2016; 224:305-22. DOI: 10.1016/bs.pbr.2015.07.020. View

Anderson K, Sitney M, White H . Marijuana motivations across adolescence: impacts on use and consequences. Subst Use Misuse. 2014; 50(3):292-301. PMC: 4586128. DOI: 10.3109/10826084.2014.977396. View

Bava S, Tapert S . Adolescent brain development and the risk for alcohol and other drug problems. Neuropsychol Rev. 2010; 20(4):398-413. PMC: 2988999. DOI: 10.1007/s11065-010-9146-6. View

De Bellis M, Wang L, Bergman S, Yaxley R, Hooper S, Huettel S . Neural mechanisms of risky decision-making and reward response in adolescent onset cannabis use disorder. Drug Alcohol Depend. 2013; 133(1):134-45. PMC: 3786021. DOI: 10.1016/j.drugalcdep.2013.05.020. View

10.

Hammond C, Chaney A, Hendrickson B, Sharma P . Cannabis use among U.S. adolescents in the era of marijuana legalization: a review of changing use patterns, comorbidity, and health correlates. Int Rev Psychiatry. 2020; 32(3):221-234. PMC: 7588219. DOI: 10.1080/09540261.2020.1713056. View

11.

Vorobyev V, Kwon M, Moe D, Parkkola R, Hamalainen H . Risk-Taking Behavior in a Computerized Driving Task: Brain Activation Correlates of Decision-Making, Outcome, and Peer Influence in Male Adolescents. PLoS One. 2015; 10(6):e0129516. PMC: 4460129. DOI: 10.1371/journal.pone.0129516. View

12.

Fagerstrom K . Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. Addict Behav. 1978; 3(3-4):235-41. DOI: 10.1016/0306-4603(78)90024-2. View

13.

Chen C, Storr C, Anthony J . Early-onset drug use and risk for drug dependence problems. Addict Behav. 2008; 34(3):319-22. PMC: 2677076. DOI: 10.1016/j.addbeh.2008.10.021. View

14.

Bresin K, Mekawi Y . Do marijuana use motives matter? Meta-analytic associations with marijuana use frequency and problems. Addict Behav. 2019; 99:106102. DOI: 10.1016/j.addbeh.2019.106102. View

15.

Shrier L, Walls C, Rhoads A, Blood E . Individual and contextual predictors of severity of marijuana use events among young frequent users. Addict Behav. 2012; 38(1):1448-56. PMC: 3493695. DOI: 10.1016/j.addbeh.2012.05.026. View

16.

Pacheco-Colon I, Lopez-Quintero C, Coxe S, Limia J, Pulido W, Granja K . Risky decision-making as an antecedent or consequence of adolescent cannabis use: findings from a 2-year longitudinal study. Addiction. 2021; 117(2):392-410. PMC: 8714869. DOI: 10.1111/add.15626. View

17.

Walsh Z, Callaway R, Belle-Isle L, Capler R, Kay R, Lucas P . Cannabis for therapeutic purposes: patient characteristics, access, and reasons for use. Int J Drug Policy. 2013; 24(6):511-6. DOI: 10.1016/j.drugpo.2013.08.010. View

18.

Patrick M, Bray B, Berglund P . Reasons for Marijuana Use Among Young Adults and Long-Term Associations With Marijuana Use and Problems. J Stud Alcohol Drugs. 2016; 77(6):881-888. PMC: 5088171. DOI: 10.15288/jsad.2016.77.881. View

19.

Starcke K, Pawlikowski M, Wolf O, Altstotter-Gleich C, Brand M . Decision-making under risk conditions is susceptible to interference by a secondary executive task. Cogn Process. 2011; 12(2):177-82. DOI: 10.1007/s10339-010-0387-3. View

20.

Brand M, Fujiwara E, Borsutzky S, Kalbe E, Kessler J, Markowitsch H . Decision-making deficits of korsakoff patients in a new gambling task with explicit rules: associations with executive functions. Neuropsychology. 2005; 19(3):267-77. DOI: 10.1037/0894-4105.19.3.267. View