ArticleJournal of studies on alcohol and drugs2021
Using an Optimized Marijuana Purchase Task to Examine Cannabis Demand in Relation to Cannabis Misuse in Heavy Drinking Emerging Adults.
Article in Journal of studies on alcohol and drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Concurrent validity of the marijuana purchase task: a meta-analysis of trait-level cannabis demand and cannabis involvement.Addiction (Abingdon, England) · 2023Pooled it
- Diagnostic validity of alcohol demand and monetary delay discounting in relation to alcohol use disorder.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Article
- Executive functions and behavioral economic demand for cannabis among young adults: Indirect associations with cannabis consumption and cannabis use disorder.Experimental and clinical psychopharmacology · 2024Article
- Why get high? Coping and enjoyment motives mediate elevated cannabis demand and cannabis-related outcomes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Article
- Cannabis Involvement and Demand in Frequent Concentrate Users Versus Predominantly Flower Users.Journal of studies on alcohol and drugs · 2023Article
- A hypothetical lottery task to assess relative resource allocation toward alcohol and cannabis.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2023Article
- Can I see some ID? Examining validity of the marijuana purchase task among late adolescent cannabis users.Experimental and clinical psychopharmacology · 2023Article
- Age differences in the behavioural economics of cannabis use: Do adolescents and adults differ on demand for cannabis and discounting of future reward?Drug and alcohol dependence · 2022Article
- Cannabis Use Disorder: A Behavioral Economic Perspective.Current addiction reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveA behavioral economic approach to cannabis misuse emphasizes a crucial role of high drug demand (i.e., reinforcing value), which may be measured using a marijuana purchase task (MPT). The multiple indices from this measure have been associated with cannabis misuse, but somewhat inconsistently, possibly because of task variability across studies. Based on recent qualitative research, the current study implemented an optimized MPT to examine the underlying factor structure and the relationship between cannabis demand and both cannabis misuse and motivation to change.
methodParticipants were two independent samples of emerging adults who reported cannabis use and heavy episodic drinking in the last month, one Canadian (n = 396) and the other American (n = 275). Both were assessed using an MPT, the Cannabis Use Disorder Identification Test (CUDIT), the Marijuana Adverse Consequences Questionnaire (MACQ), and readiness to change items.
resultsPrincipal component analyses of the MPT indices revealed the same two-factor latent structure in both samples, interpreted as Amplitude (intensity, O
conclusionsThe optimized MPT generated a two-factor latent structure that was parallel across samples, and the Amplitude factor was consistently associated with cannabis misuse. The current findings indicate the robust relevance of behavioral economic demand for cannabis in relation to cannabis misuse but suggest that links to motivation may be sample-specific.
Indexed as
Identifiers
34100703PMC8328238W3171480815What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.