16-Year Trends Show Fewer People with Cannabis Use Disorder Are Getting Treatment
CUD treatment rates declined over 16 years, with increasing numbers of people saying they did not know where to access treatment or could not afford it.
Quick Facts
What This Study Found
Across three national survey time points (2003, 2011, 2019), CUD treatment utilization decreased while most individuals meeting diagnostic criteria did not receive treatment. Barriers shifted over time: people increasingly reported not knowing where to access treatment, not being ready to stop, inability to afford treatment, and concerns about stigma or occupational impact. Consistent predictors of receiving treatment included having past-year mental health treatment and being under community supervision (probation/parole).
Key Numbers
Three time points: 2003, 2011, 2019; CUD treatment utilization decreased over time; barriers: not knowing where to access treatment, inability to afford, stigma concerns; prior arrest associated with 2-3x higher odds of treatment in later years
How They Did This
Analysis of three cross-sectional waves from the National Survey on Drug Use and Health (2003, 2011, 2019). Included individuals meeting diagnostic criteria for CUD. Multivariate logistic regression examined predictors of receiving treatment and self-reported reasons for not receiving treatment.
Why This Research Matters
As cannabis potency increases and recreational use expands, fewer people with diagnosable CUD are accessing treatment. The shifting barriers suggest systemic issues with treatment accessibility and awareness rather than individual unwillingness.
The Bigger Picture
The declining treatment rate for CUD stands in contrast to the increasing availability and potency of cannabis products. If most people with CUD do not receive treatment and barriers are growing, the public health implications of cannabis liberalization may be underappreciated.
What This Study Doesn't Tell Us
Cross-sectional survey design at each time point. Self-reported CUD diagnosis may differ from clinical assessment. NSDUH methodology changes across years may affect comparability. "Treatment" broadly defined and may include brief interventions or mandated programs.
Questions This Raises
- ?Has the normalization of cannabis use reduced treatment-seeking even among those experiencing problems?
- ?Would lower-barrier treatment options (telehealth, apps) reach the growing pool of untreated CUD?
Trust & Context
- Key Stat:
- Evidence Grade:
- Moderate: national survey data across three time points with regression analysis, but cross-sectional design at each wave.
- Study Age:
- 2025 publication analyzing 2003, 2011, and 2019 data
- Original Title:
- An Analysis of 16-Year Trends in Cannabis Use Disorder Treatment: Predictors, Barriers, and Utilization Patterns.
- Published In:
- Substance use & misuse, 60(10), 1540-1549 (2025)
- Authors:
- Graves, Brian D(2), Mowbray, Orion, Aletraris, Lydia(2), O'Shields, Jay
- Database ID:
- RTHC-06583
Evidence Hierarchy
A snapshot of a population at one point in time.
What do these levels mean? →Read More on RethinkTHC
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Cite This Study
https://rethinkthc.com/research/RTHC-06583APA
Graves, Brian D; Mowbray, Orion; Aletraris, Lydia; O'Shields, Jay. (2025). An Analysis of 16-Year Trends in Cannabis Use Disorder Treatment: Predictors, Barriers, and Utilization Patterns.. Substance use & misuse, 60(10), 1540-1549. https://doi.org/10.1080/10826084.2025.2505773
MLA
Graves, Brian D, et al. "An Analysis of 16-Year Trends in Cannabis Use Disorder Treatment: Predictors, Barriers, and Utilization Patterns.." Substance use & misuse, 2025. https://doi.org/10.1080/10826084.2025.2505773
RethinkTHC
RethinkTHC Research Database. "An Analysis of 16-Year Trends in Cannabis Use Disorder Treat..." RTHC-06583. Retrieved from https://rethinkthc.com/research/graves-2025-an-analysis-of-16year
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.