Medical Cannabis Laws Were Linked to Declining Specialty Treatment for Cannabis Use Disorder

States with medical cannabis dispensaries saw significant declines in specialty CUD treatment in 2004-2014, partly driven by people without active CUD leaving treatment.

Mauro, Pia M et al.·Drug and alcohol dependence·2024·Strong EvidenceLongitudinal Cohort
RTHC-05530Longitudinal CohortStrong Evidence2024RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Longitudinal Cohort
Evidence
Strong Evidence
Sample
Not reported

What This Study Found

CUD treatment decreased 2.15 points after MCL with dispensaries (2004-2014). Among active CUD patients, declines occurred only in dispensary states. By 2015-2019, associations were no longer significant.

Key Numbers

Treatment decreased 2.15 points after MCL with dispensaries (2004-2014). Among CUD patients: -0.91 points in dispensary states. No MCL effects 2015-2019.

How They Did This

Multi-level logistic regression using restricted-use 2004-2019 NSDUH data for people aged 12+ classified as needing CUD treatment.

Why This Research Matters

If cannabis policy reduces treatment uptake among those who need it, this is a public health concern. Understanding the mechanism is critical.

The Bigger Picture

The decline may reflect reduced stigma, fewer criminal referrals, or normalization. Active CUD patients were less affected.

What This Study Doesn't Tell Us

Observational. Self-report NSDUH. CUD criteria changed with DSM-5. Multiple simultaneous policy changes.

Questions This Raises

  • ?Are people managing CUD without formal help?
  • ?Has reduced criminal justice involvement offset treatment decline?

Trust & Context

Key Stat:
CUD treatment decreased 2.15 points in dispensary states (2004-2014); no effect by 2015-2019
Evidence Grade:
Large nationally representative dataset with multi-level modeling, but observational design.
Study Age:
Published in 2024 with 2004-2019 data.
Original Title:
Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019.
Published In:
Drug and alcohol dependence, 257, 111113 (2024)
Database ID:
RTHC-05530

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-ControlFollows or compares groups over time
This study
Cross-Sectional / Observational
Case Report / Animal Study

Follows a group of people over time to track how outcomes develop.

What do these levels mean? →

Frequently Asked Questions

Did medical marijuana laws reduce treatment for cannabis problems?

Dispensary states saw significant treatment declines 2004-2014, but the effect disappeared by 2015-2019.

Are fewer people getting help for cannabis addiction?

Specialty CUD treatment has declined nationally, but much of the decrease involved people without active CUD.

Read More on RethinkTHC

Cite This Study

RTHC-05530·https://rethinkthc.com/research/RTHC-05530

APA

Mauro, Pia M; Gutkind, Sarah; Askari, Melanie S; Hasin, Deborah S; Samples, Hillary; Mauro, Christine M; Annunziato, Erin M; Boustead, Anne E; Martins, Silvia S. (2024). Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019.. Drug and alcohol dependence, 257, 111113. https://doi.org/10.1016/j.drugalcdep.2024.111113

MLA

Mauro, Pia M, et al. "Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019.." Drug and alcohol dependence, 2024. https://doi.org/10.1016/j.drugalcdep.2024.111113

RethinkTHC

RethinkTHC Research Database. "Associations between cannabis policies and state-level speci..." RTHC-05530. Retrieved from https://rethinkthc.com/research/mauro-2024-associations-between-cannabis-policies

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.