Evidence map›Paper›PMID 29989239›Full record

ArticleAddiction (Abingdon, England)2018

Medical cannabis legalization and opioid prescriptions: evidence on US Medicaid enrollees during 1993-2014.

Di Liang, Yuhua Bao, Mark Wallace, Igor Grant, Yuyan Shi

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
–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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Observational
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  12. Item response theory analysis of benefits and harms of cannabis use in cancer survivors.Journal of the National Cancer Institute. Monographs · 2024
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  18. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Di LiangDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
Yuhua BaoWeill Cornell Medical College, New York, NY, USA.
Mark WallaceDepartment of Anesthesiology, University of California San Diego, La Jolla, CA, USA.
Igor GrantDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Yuyan ShiDepartment of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-9293-0659

Funding

STRUCTURAL NEUROIMAGING COREP30MH062512 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jessica Lynette Montoya · 2001 to 2026
$50.4M
Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Bruce R Schackman · 2015 to 2026
$20.7M
Neighborhood Physical, Economic, and Socioeconomic Environment In Relation to Marijuana Use and DisorderR01DA042290 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, YUYAN · 2017 to 2020
$2.6M
NIDA NIH HHS P30 DA040500NIDA NIH HHS R01 DA042290NIMH NIH HHS P30 MH062512
6 · The paper itself

Abstract

BACKGROUND AND

aimsWhile the United States has been experiencing an opioid epidemic, 29 states and Washington DC have legalized cannabis for medical use. This study examined whether state-wide medical cannabis legalization was associated with reduction in opioids received by Medicaid enrollees.

designSecondary data analysis of state-level opioid prescription records from 1993-2014 Medicaid State Drug Utilization Data. Linear time-series regressions assessed the associations between medical cannabis legalization and opioid prescriptions, controlling for state-level time-varying policy covariates (such as prescription drug monitoring programs) and socio-economic covariates (such as income).

settingUnited States.

participantsDrug prescription records for patients enrolled in fee-for-service Medicaid programs that primarily provide health-care coverage to low-income and disabled people. MEASUREMENTS: The primary outcomes were population-adjusted number, dosage and Medicaid spending on opioid prescriptions. Outcomes for Schedule II opioids (e.g. hydrocodone, oxycodone) and Schedule III opioids (e.g. codeine) were analyzed separately. The primary policy variable of interest was the implementation of state-wide medical cannabis legalization.

findingsFor Schedule III opioid prescriptions, medical cannabis legalization was associated with a 29.6% (P = 0.03) reduction in number of prescriptions, 29.9% (P = 0.02) reduction in dosage and 28.8% (P = 0.04) reduction in related Medicaid spending. No evidence was found to support the associations between medical cannabis legalization and Schedule II opioid prescriptions. Permitting medical cannabis dispensaries was not associated with Schedule II or Schedule III opioid prescriptions after controlling for medical cannabis legalization. It was estimated that, if all the states had legalized medical cannabis by 2014, Medicaid annual spending on opioid prescriptions would be reduced by 17.8 million dollars.

conclusionState-wide medical cannabis legalization appears to have been associated with reductions in both prescriptions and dosages of Schedule III (but not Schedule II) opioids received by Medicaid enrollees in the United States.

Indexed as

Medical MarijuanaAnalgesics, OpioidDrug and Narcotic ControlHealth ExpendituresHumansMedicaidUnited StatesAnalgesics, OpioidMedical MarijuanaCannabislegalizationmedicaidmedical cannabisopioidopioid prescriptionPrescription Drug Monitoring Program

Identifiers

PMID29989239
PMCPMC6190827

What OpenQuestion 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 OpenQuestion graph.