Pain Did Not Predict Cannabis Use Among People with Psychotic Disorders
In 108 Dutch people with psychotic disorders, pain and pain interference did not predict cannabis use, but those on less-sedating antipsychotics used more cannabis.
Quick Facts
What This Study Found
Pain and interference from pain were not significant predictors of cannabis use (yes/no) or amount of cannabis use in people with psychotic disorders. However, use of antipsychotics with low sedating effects was associated with greater cannabis use (p=0.028). 59% of the sample experienced some pain and 18.5% used cannabis.
Key Numbers
108 participants. 59% experienced some pain. 18.5% used cannabis. Pain: not a significant predictor. Low-sedation antipsychotics: associated with greater cannabis use (p=0.028). Covariates: age, sex, psychosis severity, sedating medication.
How They Did This
Cross-sectional analysis of 108 Dutch people with psychotic disorders from the VAT observational cohort. Regression models tested whether pain (RAND-36-SF items) predicted cannabis use, controlling for age, sex, psychosis severity, and sedating antipsychotic use.
Why This Research Matters
The assumption that people with psychosis might use cannabis to self-medicate pain was not supported. Instead, the link between less-sedating antipsychotics and greater cannabis use raises questions about whether some patients use cannabis for sedation or relaxation that their medications do not provide.
The Bigger Picture
The antipsychotic sedation finding suggests cannabis use in psychosis may be driven more by a desire for subjective effects that less-sedating medications do not provide, rather than by pain management. This could influence medication selection decisions.
What This Study Doesn't Tell Us
Small sample size (108). Cross-sectional design. Self-reported pain and cannabis use. Dutch sample may not generalize. Cannabis may effectively suppress pain, making users report less pain (reverse causation). Single-site cohort study.
Questions This Raises
- ?Are patients on less-sedating antipsychotics using cannabis for relaxation or sleep?
- ?Would switching to a more sedating antipsychotic reduce cannabis use in this population?
Trust & Context
- Key Stat:
- Evidence Grade:
- Small cross-sectional sample from a single cohort limits evidence to preliminary.
- Study Age:
- Data from the Dutch VAT observational cohort study.
- Original Title:
- Pain Is Not a Predictor of Cannabis Use in People With Psychotic Disorders.
- Published In:
- Journal of dual diagnosis, 21(3), 183-190 (2025)
- Authors:
- Smid, Mirjam H, Bruins, Jojanneke
- Database ID:
- RTHC-07679
Evidence Hierarchy
Watches what happens naturally without intervening.
What do these levels mean? →Frequently Asked Questions
Do people with psychosis use cannabis for pain?
This study found no evidence of that. Despite 59% experiencing some pain, pain did not predict who used cannabis or how much they used.
What did predict cannabis use in psychosis?
Being prescribed antipsychotics with low sedating effects was the significant predictor, suggesting cannabis use may be related to seeking sedation or relaxation rather than pain relief.
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Cite This Study
https://rethinkthc.com/research/RTHC-07679APA
Smid, Mirjam H; Bruins, Jojanneke. (2025). Pain Is Not a Predictor of Cannabis Use in People With Psychotic Disorders.. Journal of dual diagnosis, 21(3), 183-190. https://doi.org/10.1080/15504263.2025.2517176
MLA
Smid, Mirjam H, et al. "Pain Is Not a Predictor of Cannabis Use in People With Psychotic Disorders.." Journal of dual diagnosis, 2025. https://doi.org/10.1080/15504263.2025.2517176
RethinkTHC
RethinkTHC Research Database. "Pain Is Not a Predictor of Cannabis Use in People With Psych..." RTHC-07679. Retrieved from https://rethinkthc.com/research/smid-2025-pain-is-not-a
Access the Original Study
Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.
This study breakdown was produced by the RethinkTHC research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.