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.

Schnell, Thomas et al.·Scientific reports·2023·Moderate EvidenceCross-Sectional
RTHC-04919Cross SectionalModerate Evidence2023RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Moderate Evidence
Sample
N=441

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)
Database ID:
RTHC-04919

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study

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.

Read More on RethinkTHC

Cite This Study

RTHC-04919·https://rethinkthc.com/research/RTHC-04919

APA

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.