Evidence map›Paper›PMID 33624387›Full record

ArticleHealth economics2021

The impact of medical and recreational marijuana laws on opioid prescribing in employer-sponsored health insurance.

Jiebing Wen, Hefei Wen, J S Butler, Jeffery C Talbert

Open access · greenAbstract read
In one paragraph

Article in Health economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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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 at 3 institutions in 1 country.

Jiebing WenDepartment of Population Medicine, Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Hefei WenDepartment of Population Medicine, Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.ORCID 0000-0001-5064-2501
J S ButlerMartin School of Public Policy and Administration, University of Kentucky, 473 Patterson Office Tower, Lexington, Kentucky, USA.
Jeffery C TalbertInstitute of Biomedical Informatics, College of Medicine and Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, 725 Rose St, Lexington, Kentucky, USA.
Harvard University · USUniversity of Kentucky · USUniversity of Tennessee at Martin · US

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
NCATS NIH HHS UL1 TR001998
6 · The paper itself

Abstract

Using data from Truven Health MarketScan Commercial Claims and Encounters Database between 2009 and 2015, we studied the effects of medical and recreational marijuana laws on opioid prescribing in employer-sponsored health insurance. We used a differences-in-differences (DD) approach and found that the implementation of medical marijuana laws (MMLs) and recreational marijuana laws (RMLs) reduced morphine milligram equivalents per enrollee by 7% and 13%, respectively. The reduction associated with MMLs was predominately in people aged 55-64, whereas the reduction associated with RMLs was largely in people aged 35-44 and aged 45-54. Our findings suggest that both MMLs and RMLs have the potential to reduce opioid prescribing in the privately insured population, especially for the middle-aged population.

Indexed as

Medical MarijuanaPractice Patterns, Physicians'AdultAnalgesics, OpioidCannabisHumansInsurance, HealthMarijuana UseMiddle AgedUnited StatesAnalgesics, OpioidMedical Marijuanamedical marijuana lawspain managementprescription opioidsrecreational marijuana laws

Identifiers

PMID33624387
PMCPMC8237244
OpenAlexW3129343498

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.