Paranoid and Dysphoric Cannabis Experiences Were the Strongest Predictors of Wanting to Quit
Among 441 current and past cannabis users, paranoid and dysphoric intoxication experiences were the strongest predictors of motivation to stop using, more so than psychosis-like symptoms like hallucinations, with past users reporting significantly more unpleasant and fewer positive experiences than current users.
Quick Facts
What This Study Found
Paranoid/dysphoric intoxication effects were the strongest predictors of abstinence motivation. Psychosis-like effects such as hallucinations were less predictive. Past users reported significantly more unpleasant and fewer positive experiences than current users retrospectively. Current users intending to stop had significantly more paranoia/dysphoria than those not intending to stop.
Key Numbers
N=441 (current and past users). Paranoid/dysphoric effects most predictive of abstinence motivation. Hallucinations less predictive. Past users had more unpleasant, fewer positive experiences than current users. Current users wanting to quit had more paranoia/dysphoria.
How They Did This
Mixed methods online survey of 441 current and past cannabis users analyzing predictive impact of different intoxication effects on abstinence motivation/cessation, controlling for craving, consumption patterns, and sociodemographics.
Why This Research Matters
Understanding what makes people want to quit cannabis has practical implications for treatment. If paranoia and dysphoria are the key drivers of cessation motivation, treatment programs can leverage these experiences rather than focusing solely on psychosis education.
The Bigger Picture
This study supports the "discontinuation hypothesis": as cannabis potency increases, more users experience unpleasant effects that drive them to quit, which may partially explain why schizophrenia incidence has not risen in proportion to cannabis use and potency increases.
What This Study Doesn't Tell Us
Cross-sectional and retrospective design. Online survey may attract non-representative sample. Past users' recall of experiences may be biased by the outcome (quitting). Cannot determine whether negative experiences caused quitting or quitting changed retrospective recall.
Questions This Raises
- ?Could treatment programs use paranoid experiences as a motivational tool for cessation?
- ?Does the discontinuation hypothesis hold in populations using very high-potency cannabis?
Trust & Context
- Key Stat:
- Paranoia and dysphoria were stronger quit motivators than hallucinations
- Evidence Grade:
- Mixed methods online survey with regression analysis. Cross-sectional design limits causal inference.
- Study Age:
- Published in 2023.
- Original Title:
- Predictive impact of different acute cannabis intoxication effects with regard to abstinence motivation and cessation of use.
- Published In:
- Scientific reports, 13(1), 709 (2023)
- Authors:
- Schnell, Thomas(2), Grömm, Christina-Marie, Klöckner, Nils
- Database ID:
- RTHC-04919
Evidence Hierarchy
A snapshot of a population at one point in time.
What do these levels mean? →Frequently Asked Questions
What makes people want to quit cannabis?
Paranoid and dysphoric (unpleasant mood) experiences during intoxication were the strongest predictors of wanting to stop, more than psychosis-like symptoms like hallucinations.
Do past users remember cannabis differently?
Yes. Past users reported significantly more unpleasant experiences and fewer positive ones compared to current users, though this may reflect recall bias or genuinely worse experiences that drove cessation.
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Cite This Study
https://rethinkthc.com/research/RTHC-04919APA
Schnell, Thomas; Grömm, Christina-Marie; Klöckner, Nils. (2023). Predictive impact of different acute cannabis intoxication effects with regard to abstinence motivation and cessation of use.. Scientific reports, 13(1), 709. https://doi.org/10.1038/s41598-023-27592-6
MLA
Schnell, Thomas, et al. "Predictive impact of different acute cannabis intoxication effects with regard to abstinence motivation and cessation of use.." Scientific reports, 2023. https://doi.org/10.1038/s41598-023-27592-6
RethinkTHC
RethinkTHC Research Database. "Predictive impact of different acute cannabis intoxication e..." RTHC-04919. Retrieved from https://rethinkthc.com/research/schnell-2023-predictive-impact-of-different
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.