Evidence map›Paper›PMID 42239737›Full record

ArticleDrug and alcohol dependence reports2026

Who uses legal cannabis and why? Cluster profiles of participants in a Swiss regulated sales pilot trial.

Maëlle Dreifuss Bisson, Tamara Corino, Tatiana Aboulafia Brakha, Federico Seragnoli, Laura Toso, Sandro Cattacin, Daniele Zullino, Lucas Spierer, Lucien Rochat

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Article in Drug and alcohol dependence reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maëlle Dreifuss BissonDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Tamara CorinoDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Tatiana Aboulafia BrakhaDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Federico SeragnoliDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Laura TosoDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Sandro CattacinDepartment of Sociology, University of Geneva, Geneva, Switzerland.
Daniele ZullinoDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.
Lucas SpiererFaculty of Medecine, University of Fribourg, Fribourg, Switzerland.
Lucien RochatDivision of Addictology, Psychiatry Department, Geneva University Hospitals, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As cannabis regulation expands, it is important to understand who enrolls in legal non-medical cannabis programs and how participant profiles relate to harm. We identified participant profiles in Geneva's pilot trial, Methods: Baseline data from 1290 people who use cannabis (PWUC) were analysed. Hierarchical clustering (Ward) followed by K-means refinement supported a four-cluster solution (Cramer's V = 0.563). Clusters were compared on problematic cannabis use and consumption frequency, mental health symptoms, and quality of life. Results: Cluster 1 ( Conclusions: Findings support the link between coping-related motivation and problematic use, but the high-risk profile of Cluster 3 despite strong knowledge and risk awareness suggests that information and perception alone may not reduce harm. Profile-tailored harm reduction and integrated support may be needed within regulated cannabis frameworks.

Indexed as

Cannabis regulationCannabis use disorderCluster analysisHarm reductionMotivesRisk perception

Identifiers

PMID42239737
PMCPMC13227159

What Socratic holds

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Registered trials

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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 Socratic graph.