Evidence map›Paper›PMID 35007956›Full record

ArticleDrug and alcohol dependence2022

The effect of state policies on rates of high-risk prescribing of an initial opioid analgesic.

Bradley D Stein, Flora Sheng, Erin A Taylor, Andrew W Dick, Mark Sorbero, Rosalie Liccardo Pacula

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  4. The burden of acute pain in the U.S. in the wake of the opioid crisis.Frontiers in pain research (Lausanne, Switzerland) · 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

6 authors.

Bradley D SteinRAND Corporation Pittsburgh, PA, USA; University of Pittsburgh School of Medicine, USA. Electronic address: stein@rand.org.
Flora ShengRAND Corporation, Arlington, VA, USA. Electronic address: fsheng@rand.org.
Erin A TaylorRAND Corporation Santa Monica, CA, USA. Electronic address: etaylor1@rand.org.
Andrew W DickRAND Corporation Boston, MA, USA. Electronic address: andrewd@rand.org.
Mark SorberoRAND Corporation Pittsburgh, PA, USA. Electronic address: sorbero@rand.org.
Rosalie Liccardo PaculaPrice School of Public Policy, University of Southern California, Los Angeles, CA, USA. Electronic address: rmp_302@healthpolicy.usc.edu.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI BRADLEY D STEIN · 2018 to 2026
$20.8M
The Opioid Crisis: The Effects and Unintended Consequences of State Policies on Opioid Analgesic PrescribingR01DA045055 · NIDA · RAND CORPORATION · PI STEIN, BRADLEY D · 2019 to 2022
$2.9M
Quality of Medication Treatment for Opioid Use Disorder in Medicaid-enrollees: The Effects of State Policies and IntiativesR01DA045800 · NIDA · RAND CORPORATION · PI STEIN, BRADLEY D · 2018 to 2022
$2.9M
NIDA NIH HHS P50 DA046351NIDA NIH HHS R01 DA045055NIDA NIH HHS R01 DA045800
6 · The paper itself

Abstract

backgroundMultiple state policies, such as prescription drug monitoring programs (PDMPs) and duration limits, have been implemented to decrease high-risk opioid prescribing. Studies demonstrate that many policies decrease certain opioid prescribing behaviors, but few examine their intended effects on the targeted high-risk prescribing practices, nor disentangle the effects of concurrent state or federal policies likely to influence those practices.

methodsForty-one million initial prescriptions for new opioid episodes from 2007 to 2018 were identified using national pharmacy claims. We identified high-risk initial prescriptions, defined as >7 days' supply, average daily MME >90, or concurrent with benzodiazepines and estimated three multivariable logistic regression models to assess the association between policies and outcomes controlling for patient, prescriber, and county characteristics.

resultsInitial prescriptions for >7 days declined from 23.8% in 2007 to 14.9% in 2018, associated with mandatory and interoperable PDMPs and prescription duration limits but not other policies examined. Initial prescriptions with daily MME > 90 declined from 13.2% to 1.9%, associated with pain management clinic laws but not consistently with other policies. Initial prescriptions concurrent with benzodiazepines declined only modestly from 6.9% to 6.5%, associated with pain management clinic laws but not other policies examined.

conclusionsThe opioid policy environment has changed rapidly with a range of different policies being implemented addressing high-risk prescribing. PDMP laws mandating prescriber use and pain clinic laws both appear efficacious but decrease different types of high-risk opioid prescribing. New policies should be considered in light of the prevalence of the problem being addressed.

Indexed as

Analgesics, OpioidPrescription Drug Monitoring ProgramsDrug PrescriptionsHumansPolicyPractice Patterns, Physicians'PrescriptionsAnalgesics, OpioidHigh-risk prescribingOpioidsPDMPState policies

Identifiers

PMID35007956
PMCPMC8810626

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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.