Cannabis exposure tracked with all four major mental health problems across US states and time periods

An analysis of 410,138 NSDUH respondents found cannabis exposure was significantly associated with all four measures of mental illness across US regions and time, with serious mental illness doubling as cannabis use increased.

Reece, Albert Stuart et al.·BMC public health·2020·Moderate EvidenceCross-Sectional
RTHC-02798Cross SectionalModerate Evidence2020RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Cross-Sectional
Evidence
Moderate Evidence
Sample
N=410,138

What This Study Found

Across 410,138 NSDUH respondents (76.7% response rate), cannabis exposure was significantly associated with any mental illness, major depression, serious mental illness (SMI), and suicidal ideation in geospatial models adjusted for demographics and other substance use. SMI rates doubled (3.62% to 7.06%) as cannabis use increased across regions. Cannabis decriminalization was associated with a 3.28% attributable fraction of SMI, and legalization with 12.91% attributable fraction.

Key Numbers

410,138 respondents; 76.7% response rate; SMI doubled from 3.62% to 7.06% with cannabis increase; decriminalization AFE 3.28%; legalization AFE 12.91%; significant for all 4 MH outcomes.

How They Did This

Ecological cohort study using NSDUH geographically-linked substate data (2010-2012 and 2014-2016) with two-stage geotemporospatial robust generalized linear regression and formal causal inference analysis.

Why This Research Matters

This is one of the first studies to apply formal causal inference methods to the cannabis-mental health relationship at a population level, finding dose-response and temporal-sequential relationships consistent with causation.

The Bigger Picture

If the causal inference is correct, cannabis legalization may be contributing measurably to population-level mental health burden. The 12.91% attributable fraction for serious mental illness under legalization would have substantial public health implications.

What This Study Doesn't Tell Us

Ecological design (associations at area level may not hold for individuals); cross-sectional components within the cohort; NSDUH is self-report; cannot control for all confounders at the individual level; causal inference methods applied to observational data have inherent limitations.

Questions This Raises

  • ?Do individual-level longitudinal studies confirm these population-level associations?
  • ?Would cannabis policies that limit THC potency reduce mental health impacts?

Trust & Context

Key Stat:
SMI doubled (3.62% to 7.06%) as cannabis use increased; legalization AFE 12.91%
Evidence Grade:
Moderate: very large sample with formal causal inference methods, but ecological design limits individual-level conclusions.
Study Age:
Published 2020.
Original Title:
Co-occurrence across time and space of drug- and cannabinoid- exposure and adverse mental health outcomes in the National Survey of Drug Use and Health: combined geotemporospatial and causal inference analysis.
Published In:
BMC public health, 20(1), 1655 (2020)
Database ID:
RTHC-02798

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

Does cannabis legalization increase mental illness?

This study found cannabis legalization was associated with a 12.91% attributable fraction of serious mental illness at the population level. Serious mental illness rates doubled as cannabis use increased across US regions. However, ecological data cannot definitively prove individual-level causation.

Which mental health conditions are linked to cannabis?

All four measured: any mental illness, major depression, serious mental illness, and suicidal ideation were significantly associated with cannabis exposure after adjusting for demographics and other substance use.

Read More on RethinkTHC

Cite This Study

RTHC-02798·https://rethinkthc.com/research/RTHC-02798

APA

Reece, Albert Stuart; Hulse, Gary Kenneth. (2020). Co-occurrence across time and space of drug- and cannabinoid- exposure and adverse mental health outcomes in the National Survey of Drug Use and Health: combined geotemporospatial and causal inference analysis.. BMC public health, 20(1), 1655. https://doi.org/10.1186/s12889-020-09748-5

MLA

Reece, Albert Stuart, et al. "Co-occurrence across time and space of drug- and cannabinoid- exposure and adverse mental health outcomes in the National Survey of Drug Use and Health: combined geotemporospatial and causal inference analysis.." BMC public health, 2020. https://doi.org/10.1186/s12889-020-09748-5

RethinkTHC

RethinkTHC Research Database. "Co-occurrence across time and space of drug- and cannabinoid..." RTHC-02798. Retrieved from https://rethinkthc.com/research/reece-2020-cooccurrence-across-time-and

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.