ArticleDrug and alcohol dependence reports2025
Factors associated with cannabis use disorder among Australians using prescribed and illicitly-sourced medical cannabis.
Article in Drug and alcohol dependence reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Special issue: The harms and benefits of cannabis and cannabinoids in women and men and effects on their progeny.Drug and alcohol dependence reports · 2026Article
- Factors Associated with Possible Cannabis Use Disorder among Adults Using Medical Cannabis in Florida: A Cross-Sectional Study.Medical cannabis and cannabinoidsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: People who use cannabis medically do so more frequently than those who use nonmedically, potentially placing them at higher risk of cannabis use disorder (CUD). Prescription involves receiving guidance from doctors how best to administer medication; however, it remains unknown whether prescribed medical cannabis is associated with reduced incidence of CUD compared to illicit. Methods: Data came from a 2022-23 online anonymous cross-sectional survey of Australians who had used medical cannabis. We examined differences between respondents who use Prescribed medical cannabis and respondents who use Illicit medical cannabis in demographic characteristics, patterns of use, and odds of meeting DSM-5 criteria for Any-CUD (≥2/11 criteria) and Moderate-Severe-CUD (≥4/11). Bayesian penalised regression models were used to identify the most important factors associated with CUD. Results: Of 1796 respondents, 43 % met Any- and 17 % Moderate-Severe CUD criteria. In bivariate analyses, respondents who sourced illicit medical cannabis were more likely to meet criteria for Any CUD (53 % vs 41 %, OR=1.6 [CI: 1.3, 2.0]) and Moderate-Severe CUD (25 % vs 15 %, OR=2.0 [CI: 1.5, 2.6]) than those who were prescribed; however, with other factors controlled for, age, frequency-of-use, mental health, THC content, route of administration, and proportion of medical vs nonmedical cannabis use were more important correlates than whether medical cannabis was prescribed or illicitly sourced. Conclusions: CUD is common amongst people who use medical cannabis. While CUD was less prevalent among people who obtained it on prescription than those who obtained it illicitly, other factors such as the concomitant use of cannabis for nonmedical reasons were a more important correlate with CUD.
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