Evidence map›Paper›PMID 32652376›Full record

ReviewDrug and alcohol dependence2020

The state of the science in opioid policy research.

Megan S Schuler, Sara E Heins, Rosanna Smart, Beth Ann Griffin, David Powell, Elizabeth A Stuart, Bryce Pardo, Sierra Smucker, Stephen W Patrick, Rosalie Liccardo Pacula and 1 more

Abstract readReview
In one paragraph

Review in Drug and alcohol dependence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Persistent Opioid Use Following Major Orthopedic Surgery.Current pain and headache reports · 2025
    Review
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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

11 authors.

Megan S SchulerRAND Corporation, 20 Park Plaza #920, Boston, MA, 02216, USA. Electronic address: mschuler@rand.org.
Sara E HeinsRAND Corporation, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
Rosanna SmartRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
Beth Ann GriffinRAND Corporation, 1200 S Hayes Street, Arlington, VA, 22202, USA.
David PowellRAND Corporation, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA.
Elizabeth A StuartDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA.
Bryce PardoRAND Corporation, 1200 S Hayes Street, Arlington, VA, 22202, USA.
Sierra SmuckerRAND Corporation, 1776 Main Street, Santa Monica, CA, 90401, USA.
Stephen W PatrickVanderbilt Center for Child Health Policy, Vanderbilt University Medical Center 2200 Children's Way, 11111 Doctors' Office Tower, Nashville, TN, 37232, USA.
Rosalie Liccardo PaculaSchaeffer Center for Health Policy and Economics, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall, Los Angeles, CA, 90089, USA.
Bradley D SteinRAND Corporation, 4570 Fifth Ave #600, Pittsburgh, PA, 15213, USA; Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA, 15213, USA.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NICHD NIH HHS P2C HD041022NIDA NIH HHS P50 DA046351
6 · The paper itself

Abstract

objectiveCharacterize the state of the science in opioid policy research based on a literature review of opioid policy studies.

methodsWe conducted a scoping review of studies evaluating the impact of U.S. state-level and federal-level policies on opioid-related outcomes published in 2005-2018. We characterized: 1) state and federal policies evaluated, 2) opioid-related outcomes examined, and 3) study design and analytic methods (summarized overall and by policy category).

resultsIn total, 145 studies were reviewed (79 % state-level policies, 21 % federal-level policies) and classified with respect to 8 distinct policy categories and 7 outcome categories. The majority of studies evaluated policies related to prescription opioids (prescription drug monitoring programs (PDMPs), opioid prescribing policies, federal regulation of prescription opioids, pain clinic laws) and considered policy impacts with respect to proximal outcomes (e.g., opioid prescribing behaviors). In total, only 29 (20 % of studies) met each of three key criteria for rigorous design: analysis of longitudinal data with a comparison group design, adjustment for difference between policy-enacting and comparison states, and adjustment for potentially confounding co-occurring policies. These more rigorous studies were predominately published in 2017-2018 and primarily evaluated PDMPs, marijuana laws, treatment-related policies, and overdose prevention policies.

conclusionsOur results indicated that study design rigor varied notably across policy categories, highlighting the need for broader adoption of rigorous methods in the opioid policy field. More evaluation studies are needed regarding overdose prevention policies and policies related to treatment access. Greater examination of distal outcomes and potential unintended consequences are also warranted.

Indexed as

Analgesics, OpioidHealth PolicyDrug OverdoseFemaleHumansPain ClinicsPolicyPractice Patterns, Physicians'Prescription Drug Monitoring ProgramsPrescriptionsAnalgesics, OpioidFederal policyOpioid policyReviewState policyStatistical methodology

Identifiers

PMID32652376
PMCPMC7423757

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.