Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Feb 3;8(2):e2457868.
doi: 10.1001/jamanetworkopen.2024.57868.

Changes in Incident Schizophrenia Diagnoses Associated With Cannabis Use Disorder After Cannabis Legalization

Affiliations

Changes in Incident Schizophrenia Diagnoses Associated With Cannabis Use Disorder After Cannabis Legalization

Daniel T Myran et al. JAMA Netw Open. .

Abstract

Importance: Despite public health concerns that cannabis legalization may increase the number of cases of schizophrenia caused by cannabis, there is limited evidence on this topic.

Objective: To examine changes in the population-attributable risk fraction (PARF) for cannabis use disorder (CUD) associated with schizophrenia after liberalization of medical cannabis and legalization of nonmedical cannabis in Canada.

Design, setting, and participants: This population-based cohort study was conducted in Ontario, Canada, from January 1, 2006, to December 31, 2022, among 13 588 681 people aged 14 to 65 years without a history of schizophrenia.

Exposures: Diagnosis of CUD in the emergency department or hospital setting (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Canada [ICD-10-CA] codes F12x and T40.7).

Main outcome and measures: Changes in the PARF for CUD associated with schizophrenia (ICD-10-CA codes F20x and F25x and Diagnostic and Statistical Manual of Mental Disorders [Fourth Edition] [DSM-IV] code 295x) over 3 policy periods: prelegalization (January 2006 to November 2015), liberalization of medical and nonmedical cannabis (December 2015 to September 2018), and legalization of nonmedical cannabis (October 2018 to December 2022). A secondary outcome was diagnosis of psychosis not otherwise specified (NOS) (ICD-10-CA code F29x and DSM-IV code 298x). Segmented linear regression was used to examine changes after the liberalization of medical cannabis in 2015 and the legalization of nonmedical cannabis in 2018.

Results: The study included 13 588 681 individuals (mean [SD] age, 39.3 [16.1] years; 6 804 906 males [50.1%]), of whom 118 650 (0.9%) had CUD. A total of 91 106 individuals (0.7%) developed schizophrenia (80 523 of 13 470 031 [0.6%] in the general population without CUD vs 10 583 of 118 650 [8.9%] with CUD). The PARF for CUD associated with schizophrenia almost tripled from 3.7% (95% CI, 2.7%-4.7%) during the prelegalization period to 10.3% (95% CI, 8.9%-11.7%) during the legalization period. The PARF in the postlegalization period ranged from 18.9% (95% CI, 16.8%-21.0%) among males aged 19 to 24 years to 1.8% (95% CI, 1.1%-2.6%) among females aged 45 to 65 years. The annual incidence of schizophrenia was stable over time, while the incidence of psychosis NOS increased from 30.0 to 55.1 per 100 000 individuals (83.7%) in the postlegalization period relative to the prelegalization period. The PARF for CUD associated with schizophrenia increased steadily over the study with no accelerations after cannabis policy changes, while increases in the PARF for CUD associated with psychosis NOS accelerated after medical cannabis liberalization.

Conclusions and relevance: In this cohort study of individuals aged 14 to 65 years in Ontario, Canada, the proportion of incident cases of schizophrenia associated with CUD almost tripled during a period of substantial liberalization of cannabis policy. Ongoing research is indicated to understand the long-term associations of cannabis policy with the prevalence of psychotic disorders.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Solmi reported receiving honoraria from Otsuka and AbbVie; and serving as a consultant for and on the advisory board of Boehringer Ingelheim outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Changes in the Past 3-Year Prevalence of Cannabis Use Disorder (CUD), Incidence of Schizophrenia and Psychosis Not Otherwise Specified (NOS), and the Population-Attributable Risk Fraction (PARF) Over Time
Rates are standardized for age and sex using the 2022 population as a reference. Shaded regions indicate 95% CIs. The dashed vertical lines indicate, from left to right, the liberalization of medical and nonmedical cannabis and the legalization of nonmedical cannabis, respectively.
Figure 2.
Figure 2.. Changes in the Population-Attributable Risk Fraction (PARF) Over Time of Cannabis Use Disorder (CUD) Associated With Schizophrenia and the Incidence of Schizophrenia by Age and Sex
Shaded regions indicate 95% CIs. The dashed vertical lines indicate, from left to right, the liberalization of medical and nonmedical cannabis and the legalization of nonmedical cannabis, respectively.
Figure 3.
Figure 3.. Changes in the Population-Attributable Fraction (PARF) for Cannabis Use Disorder Associated With Schizophrenia and Psychosis Not Otherwise Specified (NOS)
PARF is shown as a proportion. The dashed vertical dashed lines indicate, from left to right, the liberalization of medical and nonmedical cannabis and the legalization of nonmedical cannabis. The dots indicate the observed quarterly PARF, and the line indicates the projected quarterly PARF (eg, model estimated value). Shaded regions indicate 95% CIs.

Comment in

  • doi: 10.1001/jamanetworkopen.2024.57876

Similar articles

Cited by

References

    1. Vaucher J, Keating BJ, Lasserre AM, et al. . Cannabis use and risk of schizophrenia: a mendelian randomization study. Mol Psychiatry. 2018;23(5):1287-1292. doi:10.1038/mp.2016.252 - DOI - PMC - PubMed
    1. Dragioti E, Radua J, Solmi M, et al. . Global population attributable fraction of potentially modifiable risk factors for mental disorders: a meta-umbrella systematic review. Mol Psychiatry. 2022;27(8):3510-3519. doi:10.1038/s41380-022-01586-8 - DOI - PMC - PubMed
    1. Arango C, Dragioti E, Solmi M, et al. . Risk and protective factors for mental disorders beyond genetics: an evidence-based atlas. World Psychiatry. 2021;20(3):417-436. doi:10.1002/wps.20894 - DOI - PMC - PubMed
    1. Potter DJ, Hammond K, Tuffnell S, Walker C, Di Forti M. Potency of Δ9-tetrahydrocannabinol and other cannabinoids in cannabis in England in 2016: implications for public health and pharmacology. Drug Test Anal. 2018;10(4):628-635. doi:10.1002/dta.2368 - DOI - PubMed
    1. Solmi M, De Toffol M, Kim JY, et al. . Balancing risks and benefits of cannabis use: umbrella review of meta-analyses of randomised controlled trials and observational studies. BMJ. 2023;382:e072348. doi:10.1136/bmj-2022-072348 - DOI - PMC - PubMed

Publication types

Grants and funding