Evidence map›Paper›PMID 31125629›Full record

ArticlePreventive medicine2019

Association between cannabis laws and opioid prescriptions among privately insured adults in the US.

Mukaila A Raji, N Ogechi Abara, Habeeb Salameh, Jordan R Westra, Yong-Fang Kuo

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Mukaila A RajiDepartment of Internal Medicine, Division of Geriatrics, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America. Electronic address: muraji@utmb.edu.
N Ogechi AbaraDepartment of Internal Medicine, Division of Geriatrics, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America.
Habeeb SalamehDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, University of Texas Medical Branch, Galveston, TX, United States of America.
Jordan R WestraOffice of Biostatistics, Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX 77555-1148, United States of America.
Yong-Fang KuoSealy Center on Aging, University of Texas Medical Branch, Galveston, TX 77555-0177, United States of America; Office of Biostatistics, Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX 77555-1148, United States of America.
The University of Texas Medical Branch at Galveston · US

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
UTMB CLINICAL AND TRANSLATIONAL SCIENCE AWARD: NASA BED REST STUDIESUL1RR029876 · NCRR · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BRASIER, ALLAN R. · 2009 to 2011
$17.7M
Pattern, Variation and Outcomes of Opioid Prescription in Older AdultsR01DA039192 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG, RAJI, MUKAILA A · 2016 to 2023
$3.1M
NCRR NIH HHS UL1 RR029876NIA NIH HHS P30 AG024832NIDA NIH HHS R01 DA039192
6 · The paper itself

Abstract

We examine the association between opioid prescription patterns in privately insured adults and changes in state cannabis laws among five age groups (18-25, 26-35 36-45, 46-55 and 56-64 years). Using the 2016 Clinformatics Data Mart, a nationwide commercial health insurance database, we performed a cross-sectional analysis of two types of opioid prescribing (>30-day and >90-day prescriptions) among all adults aged 18-64 based on the stringency of cannabis laws. We found a significant interaction between age and cannabis law on opioid prescriptions. Age-stratified multilevel multivariable analyses showed lower opioid prescription rates in the four younger age groups only in states with medical cannabis laws, when considering both >30 day and >90 day opioid use [>30 day adjusted odds ratio (aOR) = 0.56, in 18-25, aOR = 0.67 in 26-35, aOR = 0.67 in 36-45, and aOR = 0.76 in 46-54 years; >90 day aOR = 0.56, in 18-25, aOR = 0.68 in 26-35, aOR = 0.69 in 36-45, and aOR = 0.77 in 46-54 years, P < 0.0001 for all]. This association was not significant in the oldest age group of 55-64 years. There was no significant association between opioid prescriptions and other categories of cannabis laws (recreational use and decriminalization) in any of the age groups studied.

Indexed as

Insurance, HealthMedical MarijuanaPrivate SectorAdolescentAdultAge FactorsAnalgesics, OpioidCross-Sectional StudiesFemaleHumansLegislation, DrugMaleMiddle AgedPractice Patterns, Physicians'Retrospective StudiesUnited StatesAnalgesics, OpioidMedical MarijuanaCannabisCommercial insuranceCross-sectionalMarijuanaMedical cannabisOpioidPrescription

Identifiers

PMID31125629
PMCPMC6582995
OpenAlexW2945703057

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.