ArticleJMIR research protocols2024
Patterns of Use and Withdrawal Syndrome in Dual Cannabis and Tobacco Users (DuCATA_GAM-CAT): Protocol for a Mixed Methods Study.
Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05512091 (Characterization of the Pattern of Consumption and Withdrawal Syndrome From Dual Cannabis and Tobacco Use in People With Cannabis Use Disorder Who Initiate Dishabituation Treatment), which is not on this map. Cited by 2 papers.
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Characterization of the Pattern of Consumption and Withdrawal Syndrome From Dual Cannabis and Tobacco Use in People With Cannabis Use Disorder Who Initiate Dishabituation Treatment (DuCATA_GAM-CAT)
Who cites it
2 citing papers in PubMed.
- Consumption patterns and withdrawal symptoms in dual cannabis-tobacco users in Spain: Cross-sectional study.Addictive behaviors reports · 2026Article
- Psychometric validation of the Cannabis Withdrawal Checklist in a Spanish sample with cannabis use disorder.Frontiers in psychology · 2026Article
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23 authors.
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Abstract
backgroundApproximately 1 in 6 cannabis users develop a cannabis use disorder (CUD) and the odds increase to 1 in 2 for daily users.
objectiveThe Dual use of Cannabis and Tobacco Monitoreing through a Gamified Web app (DuCATA_GAM-CaT) project aims to identify cannabis-tobacco patterns of use and withdrawal symptoms among individuals with CUD who are attending substance abuse programs.
methodsThe project uses a mixed methods approach consisting of 3 studies. First, a participatory qualitative study involves focus groups comprising individuals with CUD, clinicians, project researchers, and an expert gamification company to co-design a gamified web app. Second, a longitudinal prospective study to follow up individuals over 6 weeks with CUD attending substance abuse programs . Participants report their cannabis-tobacco usage patterns, type and frequency of tobacco use, nicotine dependence, withdrawal symptoms, psychoemotional factors, and motivation to quit both substances. Predictive analysis techniques are used to analyze clinical, demographic, psychological, and environmental data to predict the probability of achieving abstinence. Third, homogeneous focus groups to explore participants' experiences during their CUD treatment.
resultsBy June 2024, the project had completed the first study, defining eligible cannabis user profiles, developed the initial web app prototype, and initiated recruitment across 10 centers, with 74 participants enrolled, aiming to reach 150 participants in total.
conclusionsAll participants are required to provide informed consent, and their information is kept confidential and anonymized following confidentiality rules. The research team is committed to disseminating the results obtained to professional and patient groups, as well as informing public health agents, to positively influence political and social decision makers and design programmers. Additionally, we aim to prioritize the publication of the results in high-impact journals specialized in drug abuse, public health, and health care services research.
trial registrationClinicalTrials.gov NCT05512091; https://clinicaltrials.gov/study/NCT05512091. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58335.
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