Evidence map›Paper›PMID 40700267›Full record

ArticlePharmacy (Basel, Switzerland)2025

Medical Cannabis Use and Healthcare Utilization Among Patients with Chronic Pain: A Causal Inference Analysis Using TMLE.

Mitchell L Doucette, Emily Fisher, Junella Chin, Panagiota Kitsantas

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mitchell L DoucetteHealth Economics and Outcomes Research Department, Leafwell, Miami, FL 33156, USA.ORCID 0000-0002-5558-2218
Emily FisherHealth Economics and Outcomes Research Department, Leafwell, Miami, FL 33156, USA.
Junella ChinHealth Economics and Outcomes Research Department, Leafwell, Miami, FL 33156, USA.
Panagiota KitsantasDepartment of Health Administration and Policy, George Mason University, Fairfax, VA 22030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic pain affects approximately 20% of U.S. adults, imposing significant burdens on individuals and healthcare systems. Medical cannabis has emerged as a potential therapy, yet its impact on healthcare utilization remains unclear.

methodsThis retrospective cohort study analyzed administrative data from a telehealth platform providing medical cannabis certifications across 36 U.S. states. Patients were classified as cannabis-exposed if they had used cannabis in the past year, while unexposed patients had no prior cannabis use. Outcomes included self-reported urgent care visits, emergency department (ED) visits, hospitalizations, and quality of life (QoL), measured using the CDC's Healthy Days measure. Targeted Maximum Likelihood Estimation with SuperLearner estimated causal effects, adjusting for numerous covariates.

resultsMedical cannabis users exhibited significantly lower healthcare utilization. Specifically, exposure was associated with a 2.0 percentage point reduction in urgent care visits (95% CI: -0.036, -0.004), a 3.2 percentage point reduction in ED visits (95% CI: -0.051, -0.012) and fewer unhealthy days per month (-3.52 days, 95% CI: -4.28, -2.76). Hospitalization rates trended lower but were not statistically significant. Covariate balance and propensity score overlap indicated well-fitting models.

conclusionsMedical cannabis use was associated with reduced healthcare utilization and improved self-reported QoL among chronic pain patients.

Indexed as

causalitychronic painmedical marijuanasupervised machine learning

Identifiers

PMID40700267
PMCPMC12286269

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.