Evidence map›Paper›PMID 41319431›Full record

ArticleDrug and alcohol dependence2026

Daily web survey data collection of time-varying cannabis use motives and contexts, with implications for adaptive interventions: A pilot study.

Yongchao Ma, Brady T West, Sean Esteban McCabe

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yongchao MaSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, United States. Electronic address: ytma@umich.edu.
Brady T WestSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, United States.
Sean Esteban McCabeCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, United States.

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
Trajectories of Prescription Nonmedical Drug MisuseR01DA031160 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SEAN ESTEBAN MCCABE · 2011 to 2026
$3.7M
NIDA NIH HHS P50 DA054039NIDA NIH HHS R01 DA031160
6 · The paper itself

Abstract

backgroundWith the rising prevalence of daily cannabis use in the U.S., more individuals may seek treatment for adverse outcomes (e.g., cannabis use disorder) arising from frequent cannabis use. Adaptive interventions leverage self-reported motives for cannabis use to develop personalized support. Research has demonstrated that these motives can be collected on a yearly, monthly, or daily basis, and strongly predict both the frequency of cannabis use and associated adverse outcomes.

methodsWe employed a daily web survey over a 28-day period to assess daily motives and open-ended self-reported contexts of nonmedical cannabis use. Participants, aged 22-76 (n = 48, Mean = 48.8, SD = 17.1; 64 % female; 22 % African American), completed a baseline web survey on demographics and mental health and a follow-up web survey on mental health at present and cannabis use behaviors during the study. We applied latent transition analysis with random intercepts (RI-LTA) to analyze the data.

resultsIn our descriptive analyses, we identified four types of transitions in weekly latent motive classes, particularly transitions toward motives dominated by sleep aid and cannabis availability. Participants experiencing these transitions reported higher subsequent cannabis use frequency. Open-ended contextual information revealed behaviors such as cannabis use related to managing sleep disturbances, anxiety triggered by daily stressors, and recovery from medical treatments (e.g., chemotherapy).

conclusionsOur findings underscore the value of monitoring short-term transitions in cannabis use motives and contexts. This approach can inform the timing and content of adaptive interventions, proactively addressing the contexts and motives to prevent adverse cannabis use outcomes. Additional replications of this approach using larger samples are needed.

Indexed as

InternetMarijuana AbuseMarijuana UseMotivationAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsSelf ReportSurveys and QuestionnairesTime FactorsYoung AdultAdaptive interventionsContexts for cannabis useDaily web surveyLatent transition analysisMotives for cannabis use

Identifiers

PMID41319431
PMCPMC13126555

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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.