Louisiana Medical Marijuana Patients Report Less Pain and Fewer Prescription Painkillers

Among 2,000+ Louisiana medical marijuana patients, pain levels dropped by an average of 3.4 points, and those who stopped prescription painkillers used more medical marijuana.

Hummel, Daniel et al.·Substance use & misuse·2025·Moderate Evidencecross-sectional survey
RTHC-06695Cross Sectional surveyModerate Evidence2025RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
cross-sectional survey
Evidence
Moderate Evidence
Sample
N=2,000

What This Study Found

Respondents reported lower pain levels with medical marijuana use by an average of 3.4 points on a 10-point scale. Patients using prescription painkillers were 1.5 times more likely to use medical marijuana less frequently. Those who stopped prescription painkillers had 26.5% higher odds of using more medical marijuana, suggesting substitution.

Key Numbers

Over 2,000 respondents. Pain reduced by 3.4 points on 10-point scale (Z=-35.77, p<0.001). Prescription pain users 1.5x more likely to use MM less frequently (OR=1.524, 95% CI: 1.114-2.074, p<0.01). Stopping prescriptions increased odds of more MM use by 26.5% (OR=0.735, 95% CI: 0.586-0.923, p<0.001).

How They Did This

Survey of more than 2,000 Louisiana medical marijuana program participants examining frequency and amount of use, with analysis of relationships between race, age, reason for use, prescription use, and program duration.

Why This Research Matters

With the U.S. opioid crisis ongoing, evidence that medical marijuana may serve as a substitute for prescription painkillers supports the case for expanded access in states still debating legalization.

The Bigger Picture

A growing body of evidence from patient surveys across multiple states consistently shows medical marijuana patients report reduced pain and decreased use of prescription opioids. The Louisiana data adds to this pattern.

What This Study Doesn't Tell Us

Self-reported pain reduction without objective measures. Survey participants are self-selected medical marijuana users, introducing bias toward positive outcomes. No control group. Cross-sectional design cannot establish causation.

Questions This Raises

  • ?Would a randomized trial confirm pain reduction of this magnitude with medical marijuana?
  • ?Which forms of medical marijuana (flower, oil, edibles) are most effective for pain substitution?

Trust & Context

Key Stat:
Medical marijuana patients reported pain reduction averaging 3.4 points on a 10-point scale
Evidence Grade:
Large survey with significant statistical findings, but self-report design without controls limits strength of evidence.
Study Age:
2025 publication.
Original Title:
Medical Marijuana and Opioid Usage: An Analysis of Patient Perceptions in Louisiana.
Published In:
Substance use & misuse, 1-6 (2025)
Database ID:
RTHC-06695

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
What do these levels mean? →

Read More on RethinkTHC

Cite This Study

RTHC-06695·https://rethinkthc.com/research/RTHC-06695

APA

Hummel, Daniel; Sutherlin, John W; Hawkins, Ashley; Thomas, Kathryn; Corbett, Kym. (2025). Medical Marijuana and Opioid Usage: An Analysis of Patient Perceptions in Louisiana.. Substance use & misuse, 1-6. https://doi.org/10.1080/10826084.2025.2584703

MLA

Hummel, Daniel, et al. "Medical Marijuana and Opioid Usage: An Analysis of Patient Perceptions in Louisiana.." Substance use & misuse, 2025. https://doi.org/10.1080/10826084.2025.2584703

RethinkTHC

RethinkTHC Research Database. "Medical Marijuana and Opioid Usage: An Analysis of Patient P..." RTHC-06695. Retrieved from https://rethinkthc.com/research/hummel-2025-medical-marijuana-and-opioid

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.