Twin Study Shows Cannabis Use Disorder Leads to Psychotic Experiences Through Both Genetic and Direct Effects
In nearly 2,800 twins, the link between cannabis use disorder and psychotic experiences was explained by both shared genetics and a direct causal pathway from cannabis to psychosis, not the reverse.
Quick Facts
What This Study Found
This twin study of 2,793 young adults disentangled the genetic and environmental contributions to the cannabis-psychosis relationship.
Cannabis use disorder symptoms were strongly associated with psychotic-like experiences, with an incidence rate ratio of 6.3. Within twin pairs (controlling for shared genetics and family environment), the association remained significant at 3.5, confirming that factors beyond family background contribute.
Heritability of cannabis use disorder symptoms was 88% in both men and women. Heritability of psychotic experiences was 77% in men and 43% in women, revealing a striking sex difference.
The genetic correlation between cannabis use disorder and psychotic experiences was 0.55, and the environmental correlation was 0.52, meaning both shared genes and shared environments contribute to the association.
Critically, the model testing whether cannabis causes psychotic experiences fit the data significantly better than models proposing the reverse direction (psychosis leading to cannabis use) or reciprocal causation. This supports a directional effect from cannabis to psychosis.
Key Numbers
2,793 twins. Lifetime cannabis use: 10.4%. PLEs prevalence: 0.1-2.2%. CUD-PLE incidence rate ratio: 6.3 total, 3.5 within pairs. CUD heritability: 88%. PLE heritability: 77% (men), 43% (women). Genetic correlation: 0.55. Environmental correlation: 0.52.
How They Did This
Population-based twin study of 2,793 young adults (63.5% female, mean age 28.2). Cannabis use disorder symptoms and psychotic-like experiences assessed via CIDI. Item Response Theory modeled latent risk. Co-twin control analysis assessed familial confounding. Biometric models estimated heritability, genetic/environmental correlations, and direction of causation.
Why This Research Matters
Twin studies are among the most powerful methods for disentangling genetic and environmental influences. This study provides strong evidence for a causal direction from cannabis to psychosis, not the other way around, while also showing that shared genetics play a substantial role.
The Bigger Picture
The directional finding (cannabis to psychosis, not reverse) is significant because it counters the argument that people predisposed to psychosis simply self-medicate with cannabis. Both shared genetics and a direct effect contribute, but the arrow points from cannabis use disorder toward psychotic experiences.
What This Study Doesn't Tell Us
Cross-sectional assessment limits causal inference despite the direction-of-causation modeling. Self-reported cannabis use and psychotic experiences may be subject to bias. The predominantly female sample (63.5%) may affect generalizability. Psychotic-like experiences are subclinical and may not predict full psychotic disorders.
Questions This Raises
- ?Could genetic testing identify individuals most vulnerable to cannabis-induced psychotic experiences?
- ?Does the sex difference in heritability of psychotic experiences explain why men are more affected by cannabis-psychosis associations?
- ?Would the directional effect hold in clinical psychosis rather than subclinical experiences?
Trust & Context
- Key Stat:
- Direction of causation modeling supported cannabis causing psychotic experiences, not the reverse
- Evidence Grade:
- Large population-based twin study with advanced biometric modeling. Strong because twin methodology controls for genetic and shared environmental confounding.
- Study Age:
- Published in 2017.
- Original Title:
- Genetic and Environmental Contributions to the Association Between Cannabis Use and Psychotic-Like Experiences in Young Adult Twins.
- Published In:
- Schizophrenia bulletin, 43(3), 644-653 (2017)
- Authors:
- Nesvåg, Ragnar, Reichborn-Kjennerud, Ted(3), Gillespie, Nathan A(7), Knudsen, Gun Peggy, Bramness, Jørgen G, Kendler, Kenneth S, Ystrom, Eivind
- Database ID:
- RTHC-01464
Evidence Hierarchy
A snapshot of a population at one point in time.
What do these levels mean? →Frequently Asked Questions
Does cannabis cause psychosis or do psychosis-prone people use cannabis?
This twin study found evidence for both shared genetics and a direct effect from cannabis to psychosis. The model where cannabis causes psychotic experiences fit the data better than the reverse direction, supporting a causal role for cannabis.
How much of the cannabis-psychosis link is genetic?
The genetic correlation was 0.55, meaning shared genetic factors explain a substantial portion of the association. However, the within-twin-pair analysis and direction-of-causation modeling showed that direct effects of cannabis also contribute beyond genetics.
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Cite This Study
https://rethinkthc.com/research/RTHC-01464APA
Nesvåg, Ragnar; Reichborn-Kjennerud, Ted; Gillespie, Nathan A; Knudsen, Gun Peggy; Bramness, Jørgen G; Kendler, Kenneth S; Ystrom, Eivind. (2017). Genetic and Environmental Contributions to the Association Between Cannabis Use and Psychotic-Like Experiences in Young Adult Twins.. Schizophrenia bulletin, 43(3), 644-653. https://doi.org/10.1093/schbul/sbw101
MLA
Nesvåg, Ragnar, et al. "Genetic and Environmental Contributions to the Association Between Cannabis Use and Psychotic-Like Experiences in Young Adult Twins.." Schizophrenia bulletin, 2017. https://doi.org/10.1093/schbul/sbw101
RethinkTHC
RethinkTHC Research Database. "Genetic and Environmental Contributions to the Association B..." RTHC-01464. Retrieved from https://rethinkthc.com/research/nesvag-2017-genetic-and-environmental-contributions
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.