Literature Collection

Few patients with opioid use disorder receive medication for addiction treatment. In 2017 the Comprehensive Addiction and Recovery Act enabled nurse practitioners (NPs) and physician assistants (PAs) to obtain federal waivers allowing them to prescribe buprenorphine, a key medication for opioid use disorder. The waiver expansion was intended to increase patients' access to opioid use treatment, which was particularly important for rural areas with few physicians. However, little is known about the adoption of these waivers by NPs or PAs in rural areas. Using federal data, we examined waiver adoption in rural areas and its association with scope-of-practice regulations, which set the extent to which NPs or PAs can prescribe medication. From 2016 to 2019 the number of waivered clinicians per 100,000 population in rural areas increased by 111 percent. NPs and PAs accounted for more than half of this increase and were the first waivered clinicians in 285 rural counties with 5.7 million residents. In rural areas, broad scope-of-practice regulations were associated with twice as many waivered NPs per 100,000 population as restricted scopes of practice were. The rapid growth in the numbers of NPs and PAs with buprenorphine waivers is a promising development in improving access to addiction treatment in rural areas.

BACKGROUND: Position statements clarify key issues that are in alignment with the vision, mission, and values of the AMERSA, Inc. (Association for Multidisciplinary Education and Research in Substance use and Addiction). This Position Statement, endorsed by the AMERSA Board of Directors on October 3, 2023, amplifies the position of the organization, guides their activities, and informs the public and policymakers on the organization's stance on this issue. ISSUE: The unregulated drug supply in the United States evolves constantly, leaving those who use drugs potentially unaware of new adulterants in their drugs. Not knowing that information can leave people vulnerable to serious adverse events such as fatal overdoses, wounds, and other health consequences. Without real-time data on the composition of drugs available in a community, healthcare providers and public health practitioners are left with insufficient data, making it increasingly difficult to know how to best serve people who use drugs. In this context, community-based drug checking has become recognized as an important harm reduction strategy with the potential to provide those who use drugs with more information about their supply. RECOMMENDATIONS: It is imperative to expand funding and increase access to drug checking programs in communities across the United States. Key policy changes, such as those related to decriminalizing drug and drug paraphernalia possession, are needed to increase the utilization of drug checking programs. Protection of persons who use drugs through harm reduction strategies, including drug checking programs needs to be widely available and accessible.

BACKGROUND: Treatments for mental health and substance use problems have historically been unintegrated, limiting co-occurring disorders treatment. Blending discrete payment models is one potential facilitator of integrated care. This study assesses the impact of one blended payment strategy on the diagnosis of co-occurring disorders in a community mental health system. METHODS: Electronic health record data for 19373 individuals, with 173889 observations from January 2017 through December 2019 was analyzed for this study. Multilevel growth modelling was used for data analysis. A binary dependent variable represented whether a service user held diagnoses of co-occurring disorders within a month. Fixed effects included time variables and a variable representing blended payment initiation as well as race, gender, age, and payor. Service user and agency variables were modeled as random effects. FINDINGS: Blended capitated and fee-for-service payments were found to increase the odds of service users receiving co-occurring diagnoses. People of color had lower odds of receiving a co-occurring diagnosis, although this effect did not hold in an analysis of rural agencies. Service users receiving care in unintegrated agencies had higher odds of receiving co-occurring diagnoses. CONCLUSION: This study is one of the first to assess the impacts of a blended payment model on behavioral health access. Blended payment models can incentivize behavioral health providers and systems to identify complex diagnoses that may go unrecognized in routine care.