Importance: Federal and state governments implemented temporary strategies for providing access to opioid use disorder (OUD) treatment during the COVID-19 pandemic. Advocates hope many of these policies become permanent because of their potential to expand access to care.

Objective: To consider the multitude of ways access to and utilization of treatment for individuals with OUD might have been expanded by state and federal policy so researchers can do a better job evaluating the effectiveness of specific policy approaches, which will depend on the interaction with other state policies.

Evidence Review: We summarize state-level policy data reported by government and nonprofit agencies that track health care regulations, specifically the Kaiser Family Foundation, Federation of State Medical Boards, American Association of Nurse Practitioners, American Academy of Physician Assistants, and the National Safety Council. Data were collected by these sources from September 2020 through January 2021. We examine heterogeneity in policy elements adopted across states during the COVID-19 pandemic in 4 key areas: telehealth, privacy, licensing, and medication for opioid use disorder. The analysis was conducted from March 2020 through January 2021.

Findings: This cross-sectional study found that federal and state governments have taken important steps to ensure OUD treatment availability during the COVID-19 pandemic, but few states are comprehensive in their approach. Although all states and Washington, DC have adopted at least 1 telehealth policy, only 17 states have adopted telehealth policies that improve access to OUD treatment for new patients. Furthermore, only 9 states relaxed privacy laws, which influence the ability to use particular technology for telehealth visits. Similarly, all states have adopted at least 1 policy related to health care professional licensing permissions, but only 35 expanded the scope of practice laws for both physician assistants and nurse practitioners. Forty-four states expanded access to initiation and delivery of medication for OUD treatment. Together, no state has implemented all of these policies to comprehensively expand access to OUD treatment during the COVID-19 pandemic.

Conclusions And Relevance: With considerable policy changes potentially affecting access to treatment and treatment retention for patients with OUD during the pandemic, evaluations must account for the variation in state approaches in related policy areas because the interactions between policies may limit the potential effectiveness of any single policy approach.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138185PMC
http://dx.doi.org/10.1001/jamahealthforum.2021.3833DOI Listing

Publication Analysis

Top Keywords

oud treatment
20
covid-19 pandemic
16
opioid disorder
12
treatment covid-19
12
treatment
9
policy
9
state federal
8
federal state
8
state governments
8
expand access
8

Similar Publications

Aim: Opioid use disorder (OUD) is the problematic use of licit or illicit opioids. Thus far, the literature on biological sex differences in accessing treatment is scarce. Hence, we hypothesize that biological sex has a moderating effect on OUD treatment accessibility.

View Article and Find Full Text PDF

Background: Buprenorphine is an effective medication for treating opioid use disorder (OUD) and reducing opioid-related overdose deaths. Community pharmacies are key access points for buprenorphine, with pharmacists well-positioned to dispense and counsel patients on appropriate use. Recent evidence has identified pharmacists' growing engagement in buprenorphine services; yet, access to buprenorphine and related services in community pharmacies remains limited.

View Article and Find Full Text PDF

Background: Policy changes during the COVID-19 pandemic allowed buprenorphine to be prescribed for opioid use disorder (OUD) via telemedicine without an in-person visit. A recently proposed change will limit buprenorphine access to 30 days without an in-person visit. Given that people living in rural areas may be disproportionally impacted by this change, we sought to better understand how buprenorphine adherence may be impacted by requiring in-person visits.

View Article and Find Full Text PDF

Racial and Ethnic Differences in Long-Term Outcomes among Individuals with Opioid Use Disorder at Opioid Treatment Programs.

J Racial Ethn Health Disparities

December 2024

Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles, CA, USA.

Objectives: Racial and ethnic differences in long-term outcomes associated with medications for opioid use disorder (MOUD) are poorly understood.

Methods: The present analyses were based on 751 participants with opioid use disorder (OUD) who were initially recruited from opioid treatment programs located in California, Connecticut, Oregon, Pennsylvania, and Washington and participated in a randomized controlled trial and at least one follow-up interview. 9.

View Article and Find Full Text PDF

Machine learning analysis of the orbitofrontal cortex transcriptome of human opioid users identifies Shisa7 as a translational target relevant for heroin-seeking leveraging a male rat model.

Biol Psychiatry

December 2024

Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Psychiatry, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Addiction Institute of Mount Sinai, New York, New York, USA. Electronic address:

Background: Identifying neurobiological targets predictive of the molecular neuropathophysiological signature of human opioid use disorder (OUD) could expedite new treatments. OUD is characterized by dysregulated cognition and goal-directed behavior mediated by the orbitofrontal cortex (OFC), and next-generation sequencing could provide insights regarding novel targets.

Methods: Here, we used machine learning to evaluate human post-mortem OFC RNA-sequencing datasets from heroin-users and controls to identify transcripts predictive of heroin use.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!