Evidence map›Paper›PMID 39823664›Full record

ArticleDrug and alcohol dependence2025

The association of state policies and opioid analgesic amount dispensed from retail pharmacies.

Bradley D Stein, Flora Sheng, Erin A Taylor, Corey S Davis, Beth Ann Griffin, Mark Sorbero, Andrew W Dick

Abstract read
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Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bradley D SteinRAND, Pittsburgh, PA, United States. Electronic address: stein@rand.org.
Flora ShengRAND, Arlington, VA, United States. Electronic address: fsheng@rand.org.
Erin A TaylorRAND Santa Monica, CA, United States. Electronic address: etaylor1@rand.org.
Corey S DavisNetwork for Public Health Law, Los Angeles, CA, United States. Electronic address: cdavis@networkforphl.org.
Beth Ann GriffinRAND, Arlington, VA, United States. Electronic address: bethg@rand.org.
Mark SorberoRAND, Pittsburgh, PA, United States. Electronic address: sorbero@rand.org.
Andrew W DickRAND, Boston, MA, United States. Electronic address: andrewd@rand.org.

Funding

Optimal Methods for Estimating Policy Effect Heterogeneity in Opioid Policy ResearchP50DA046351 · NIDA · RAND CORPORATION · PI Rosanna Smart · 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
NIDA NIH HHS P50 DA046351NIDA NIH HHS R01 DA045055
6 · The paper itself

Abstract

importanceStates have implemented multiple policies likely to influence opioid prescribing; few national general population studies examine those policies' effects on per-capita opioid morphine milligram equivalents (MME) dispensed.

objectiveTo examine state policies' effects on opioids per-capita MMEs dispensed at retail pharmacies.

designA longitudinal study of associations between MME per capita and implementation of policy interventions at different times across states.

settingUnited States, 2006-2018 PATIENTS: Data representing approximately 90 % of prescriptions filled at retail pharmacies in the United States.

interventionsStates implementing (1) Pain management clinic laws, (2) operational Prescription Drug Monitoring Programs (PDMP), (3) mandatory PDMP use, (4) required continuing medical education for opioid prescribers, (5) medical cannabis dispensary laws, and (6) initial prescription duration limit laws. MAIN OUTCOMES AND MEASUREMENTS: Monthly county-level opioid MME per-capita.

resultsPain management clinic policies' effects were modest, not significantly associated with MME per-capita in the year following implementation, but negatively associated in subsequent years. Operational PDMP policies were negatively associated with MME per-capita in all five years following implementation. We found no evidence of significant effects of mandatory PDMP requirements, mandatory continuing medical education policies, or medical cannabis dispensary policies in any of the five years following policy implementation. Initial prescription duration limits were associated with increased per-capita MME dispensed in years 3-5 following implementation. CONCLUSIONS AND RELEVANCE: Several state policies are associated with reductions in the total amount of opioid analgesic dispensed. Additional research should examine the policies' effects on clinical outcomes in both general and high-risk populations.

Indexed as

Analgesics, OpioidHealth PolicyPharmaciesDrug PrescriptionsHumansLongitudinal StudiesMedical MarijuanaPain ManagementPractice Patterns, Physicians'Prescription Drug Monitoring ProgramsState GovernmentUnited StatesAnalgesics, OpioidMedical Marijuanaopioid analgesicspain management clinicPDMPstate policies

Identifiers

PMID39823664
PMCPMC12569796

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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.