High-Dose Opioid Prescribing in Individuals with Acute Pain: Assessing the Effects of US State Opioid Policies.

BACKGROUND: How state opioid policy environments with multiple concurrent policies affect opioid prescribing to individuals with acute pain is unknown. OBJECTIVE: To examine how prescription drug monitoring programs (PDMPs), pain management clinic regulations, initial prescription duration limits, and mandatory continued medical education affected total and high-dose prescribing. DESIGN: A county-level multiple-policy difference-in-difference event study framework. SUBJECTS: A total of 2,425,643 individuals in a large national commercial insurance deidentified claims database (aged 12-64 years) with acute pain diagnoses and opioid prescriptions from 2007 to 2019. MAIN MEASURES: The total number of acute pain opioid treatment episodes and number of episodes containing high-dose (> 90 morphine equivalent daily dosage (MEDD)) prescriptions. KEY RESULTS: Approximately 7.5% of acute pain episodes were categorized as high-dose episodes. Prescription duration limits were associated with increases in the number of total episodes; no other policy was found to have a significant impact. Beginning five quarters after implementation, counties in states with pain management clinic regulations experienced a sustained 50% relative decline in the number of episodes containing > 90 MEDD prescriptions (95 CIs: (Q5: - 0.506, - 0.144; Q12: - 1.000, - 0.290)). Mandated continuing medical education regarding the treatment of pain was associated with a 50-75% relative increase in number of high-dose episodes following the first year-and-a-half of enactment (95 CIs: (Q7: 0.351, 0.869; Q12: 0.413, 1.107)). Initial prescription duration limits were associated with an initial relative reduction of 25% in high-dose prescribing, with the effect increasing over time (95 CI: (Q12: - 0.967, - 0.335). There was no evidence that PDMPs affected high-dose opioids dispensed to individuals with acute pain. Other high-risk prescribing indicators were explored as well; no consistent policy impacts were found. CONCLUSIONS: State opioid policies may have differential effects on high-dose opioid dispensing in individuals with acute pain. Policymakers should consider effectiveness of individual policies in the presence of other opioid policies to address the ongoing opioid crisis.

A Longitudinal Multivariable Analysis: State Policies and Opioid Dispensing in Medicare Beneficiaries Undergoing Surgery.

BACKGROUND: States have implemented policies to decrease clinically unnecessary opioid prescribing, but few studies have examined how state policies affect opioid dispensing rate trends for surgical patients. OBJECTIVE: To examine trends in the perioperative opioid dispensing rates for fee-for-service Medicare beneficiaries and the effects of select state policies. DESIGN AND PARTICIPANTS: A retrospective cohort study using 2006 to 2018 Medicare claims data for individuals undergoing surgical procedures for which opioid analgesic treatment is common. EXPOSURES: State policies mandating prescription drug monitoring program (PDMP; PDMP policies) use, initial opioid prescription duration limit (duration limit policies), and mandated continuing medical education (CME; CME pain policies) on pain management. MAIN MEASURES: Opioid dispensing rates, days' supply, and the daily morphine milligram equivalent dose (MMED). KEY RESULTS: The percentage of Medicare beneficiaries dispensed opioids in the perioperative period increased from 2007 to 2018; MMED and days' supply decreased over the same period, with significant variation by age, sex, and race. None of the three state policies affected the likelihood of Medicare beneficiaries being dispensed perioperative opioids. However, CME pain policies and duration limit policies were associated with decreased days' supply and decreased MMED in the several years following implementation, respectively. CONCLUSION: While we observed a slight increase in the rate of Medicare beneficiaries dispensed opioids perioperatively and a substantial decrease in MMED and days' supply for those receiving opioids, state policies examined had relatively modest effects on the main measures. Our findings suggest that these state policies may have a limited impact on opioid dispensing for a patient population that is commonly dispensed opioid analgesics to help control surgical pain, and as a result may have little direct effect on clinical outcomes for this population. Changes in opioid dispensing for this population may be the result of broader societal trends than such state policies.

Identifying Optimal Methods for Addressing Confounding Bias When Estimating the Effects of State-level Policies.

BACKGROUND: Policy evaluation studies that assess how state-level policies affect health-related outcomes are foundational to health and social policy research. The relative ability of newer analytic methods to address confounding, a key source of bias in observational studies, has not been closely examined. METHODS: We conducted a simulation study to examine how differing magnitudes of confounding affected the performance of 4 methods used for policy evaluations: (1) the two-way fixed effects difference-in-differences model; (2) a 1-period lagged autoregressive model; (3) augmented synthetic control method; and (4) the doubly robust difference-in-differences approach with multiple time periods from Callaway-Sant'Anna. We simulated our data to have staggered policy adoption and multiple confounding scenarios (i.e., varying the magnitude and nature of confounding relationships). RESULTS: Bias increased for each method: (1) as confounding magnitude increases; (2) when confounding is generated with respect to prior outcome trends (rather than levels), and (3) when confounding associations are nonlinear (rather than linear). The autoregressive model and augmented synthetic control method had notably lower root mean squared error than the two-way fixed effects and Callaway-Sant'Anna approaches for all scenarios; the exception is nonlinear confounding by prior trends, where Callaway-Sant'Anna excels. Coverage rates were unreasonably high for the augmented synthetic control method (e.g., 100%), reflecting large model-based standard errors and wide confidence intervals in practice. CONCLUSIONS: In our simulation study, no single method consistently outperformed the others, but a researcher's toolkit should include all methodologic options. Our simulations and associated R package can help researchers choose the most appropriate approach for their data.

Discontinuation of Buprenorphine Treatment for Opioid Use Disorder During the Coronavirus Disease-2019 Pandemic: A Multilevel Framework.

BACKGROUND: The coronavirus disease-2019 pandemic has been associated with large increases in opioid-related mortality, yet it is unclear whether specific subpopulations were especially likely to discontinue buprenorphine treatment for opioid use disorder as the pandemic ensued. OBJECTIVE: The aim was to assess predictors of buprenorphine discontinuation in the early months of the coronavirus disease-2019 pandemic (April-July 2020) compared with a prepandemic period (April-July 2019). DESIGN: In each time period, we estimated a multilevel regression models to assess risk of discontinuation in April-July for people who started buprenorphine in January-February. Models included person-level, prescriber-level, and area-level covariates. SUBJECTS: Individuals age 18 years or older in the all-payer IQVIA Longitudinal Prescription Claims. MEASURES: The primary outcome was buprenorphine discontinuation (ie, no filled prescriptions during the follow-up periods). RESULTS: Overall, 13.98% of patients discontinued buprenorphine in April-July 2020, less than the 15.71% in 2019 (P<0.001). In 2020, patient-level factors associated with discontinuation included younger age, male sex, shorter baseline possession ratio, and payment by cash. Compared with patients with a primary care physician prescriber, specialties most associated with discontinuation were pain medicine and physician assistant/nurse practitioner. Compared with the South Atlantic region, discontinuation risk was lowest in New England and highest in the West South Central States. The association between patient, prescriber, and geographic variables to risk of discontinuation was very similar in 2019 and 2020. CONCLUSIONS: While clinical and policy interventions may have mitigated opioid use disorder treatment discontinuation following the pandemic, such discontinuation is nevertheless common and varies by identifiable patient, provider and geographic factors.

Prevalence of Buprenorphine Providers Requiring Cash Payment From Insured Women Seeking Opioid Use Disorder Treatment.

CONTEXT: Medications for opioid use disorder (OUD) are known to be effective, especially in reducing the risk of overdose death. Yet, many individuals suffering from OUD are not receiving treatment. One potential barrier can be the patient's ability to access providers through their insurance plans. DATA AND METHODS: We used an audit (simulated patient) study methodology to examine appointment-granting behavior by buprenorphine prescribers in 10 different US states. Trained callers posed as women with OUD and were randomly assigned Medicaid or private insurance status. Callers request an OUD treatment appointment and then asked whether they would be able to use their insurance to cover the cost of care, or alternatively, whether they would be required to pay fully out-of-pocket. FINDINGS: We found that Medicaid and privately insured women were often asked to pay cash for OUD treatment--40% of the time over the full study sample. Such buprenorphine provider requests happened more than 60% of the time in some states. Areas with more providers or with more generous provider payments were not obviously more willing to accept the patient's insurance benefits for OUD treatment. Rural providers were less likely to require payment in cash in order for the woman to receive care. CONCLUSIONS: State-to-state variation was the most striking pattern in our field experiment data. The wide variation suggests that women of reproductive age with OUD in certain states face even greater challenges to treatment access than perhaps previously thought; however, it also reveals that some states have found ways to curtail this problem. Our findings encourage greater attention to this public health challenge and possibly opportunities for shared learning across states.

County-level Factors and Treatment Access Among Insured Women With Opioid Use Disorder.

BACKGROUND: An over 40% increase in overdose deaths within the past 2 years and low levels of engagement in treatment call for a better understanding of factors that influence access to medication for opioid use disorder (OUD). OBJECTIVE: To examine whether county-level characteristics influence a caller's ability to secure an appointment with an OUD treatment practitioner, either a buprenorphine-waivered prescriber or an opioid treatment program (OTP). RESEARCH DESIGN AND SUBJECTS: We leveraged data from a randomized field experiment comprised of simulated pregnant and nonpregnant women of reproductive age seeking treatment for OUD among 10 states in the US. We employed a mixed-effects logistic regression model with random intercepts for counties to examine the relationship between appointments received and salient county-level factors related to OUD. MEASURES: Our primary outcome was the caller's ability to secure an appointment with an OUD treatment practitioner. County-level predictor variables included socioeconomic disadvantage rankings, rurality, and OUD treatment/practitioner density. RESULTS: Our sample comprised 3956 reproductive-aged callers; 86% reached a buprenorphine-waivered prescriber and 14% an OTP. We found that 1 additional OTP per 100,000 population was associated with an increase (OR=1.36, 95% CI: 1.08 to 1.71) in the likelihood that a nonpregnant caller receives an OUD treatment appointment from any practitioner. CONCLUSIONS: When OTPs are highly concentrated within a county, women of reproductive age with OUD have an easier time securing an appointment with any practitioner. This finding may suggest greater practitioners' comfort in prescribing when there are robust OUD specialty safety nets in the county.

An Exploratory Analysis of Differential Prescribing of High-Risk Opioids by Insurance Type Among Patients Seen by the Same Clinician.

BACKGROUND: Insurance status may influence quality of opioid analgesic (OA) prescribing among patients seen by the same clinician. OBJECTIVE: To explore how high-risk OA prescribing varies by payer type among patients seeing the same prescriber and identify clinician characteristics associated with variable prescribing DESIGN: Retrospective cohort study using the 2016-2018 IQVIA Real World Data - Longitudinal Prescription PARTICIPANTS: New OA treatment episodes for individuals ≥ 12 years, categorized by payer and prescriber. We created three dyads: prescribers with ≥ 10 commercial insurance episodes and ≥ 10 Medicaid episodes; ≥ 10 commercial insurance episodes and ≥ 10 self-pay episodes; and ≥ 10 Medicaid episodes and ≥ 10 self-pay episodes. MAIN OUTCOME(S) AND MEASURE(S): Rates of high-risk episodes (initial opioid episodes with > 7-days' supply or prescriptions with a morphine milliequivalent daily dose >90) and odds of being an unbalanced prescriber (prescribers with significantly higher percentage of high-risk episodes paid by one payer vs. the other payer) KEY RESULTS: There were 88,352 prescribers in the Medicaid/self-pay dyad, 172,392 in the Medicaid/commercial dyad, and 122,748 in the self-pay/commercial dyad. In the Medicaid/self-pay and the commercial-self-pay dyads, self-pay episodes had higher high-risk episode rates than Medicaid (16.1% and 18.4%) or commercial (22.7% vs. 22.4%). In the Medicaid/commercial dyad, Medicaid had higher high-risk episode rates (21.1% vs. 20.4%). The proportion of unbalanced prescribers was 11-12% across dyads. In adjusted analyses, surgeons and pain specialists were more likely to be unbalanced prescribers than adult primary care physicians (PCPs) in the Medicaid/self-paydyad (aOR 1.2, 95% CI 1.16-1.34 and aOR 1.2, 95% CI 1.03-1.34). For Medicaid/commercial and self-pay/commercial dyads, surgeons had lower odds of being unbalanced compared to PCPs (aOR 0.6, 95% CI 0.57-0.66 and aOR 0.6, 95% CI 0.61-0.68). CONCLUSIONS: Clinicians prescribe high-risk OAs differently based on insurance type. The relationship between insurance and opioid prescribing quality goes beyond where patients receive care.

Buprenorphine Treatment Episodes During the First Year of COVID: a Retrospective Examination of Treatment Initiation and Retention.

BACKGROUND: During the COVID pandemic, overall buprenorphine treatment appeared to remain relatively stable, despite some studies suggesting a decrease in patients starting buprenorphine. There is a paucity of empirical information regarding patterns of buprenorphine treatment during the pandemic. OBJECTIVE: To better understand the patterns of buprenorphine episodes during the pandemic and how those patterns compared to pre-pandemic patterns. DESIGN: Pharmacy claims representing approximately 92% of all prescriptions filled at retail pharmacies in all 50 US states and the District of Columbia. PARTICIPANTS: Individuals filling buprenorphine prescriptions indicated for treatment of opioid use disorder. MAIN MEASURES: The number of active, starting, and ending buprenorphine treatment episodes March 13 to December 1, 2020, and the expected number of such episodes in 2020 based on the growth in treatment episodes from March 13 to December 1, 2019. KEY RESULTS: The observed number of active buprenorphine episodes in December 2020 was comparable to the expected number, but new treatment episodes starting between March 13 and December 1, 2020, were 17.2% fewer than expected based on the 2019 experience. Similarly, the number of episodes that ended between March 13 and December 1, 2020, was 16.0% fewer than expected. Decreases from expected episode starts and ends occurred throughout the period but were greatest in the 2 months after the declaration of the public health emergency. CONCLUSIONS AND RELEVANCE: Beneath the apparent stability of buprenorphine patient numbers during the pandemic, the flow of individuals receiving buprenorphine treatment changed substantially. Our findings shed light on how policy changes meant to support buprenorphine prescribing influenced prescribing dynamics during that period, suggesting that while policy efforts may have been successful in maintaining existing patients in treatment, that success did not extend to individuals not yet in treatment.

US state laws relevant to incentives for health behavior: A qualitative analysis.

Contingency management (CM) involves provision of incentives for positive health behaviors via a well-defined protocol and is among the most effective treatments for patients with substance use disorders (SUDs). An understanding of laws affecting incentives for health behaviors and outcomes, including contexts in which incentives are already permitted, could inform efforts to disseminate CM. We conducted a systematic NexisUni legal database review of state statutes and regulations effective during 2022 to identify (a) laws that explicitly permit or prohibit delivery of incentives to patients, employees, or insurance beneficiaries for SUD-specific behaviors or outcomes, and (b) laws that explicitly permit delivery of incentives for any health behaviors or outcomes. We identified 27 laws across 17 jurisdictions that explicitly permit delivery of incentives for SUD-related behaviors or outcomes, with most occurring in the context of wellness programs. No state laws were identified that explicitly prohibit SUD-specific incentives. More broadly, we identified 57 laws across 29 jurisdictions permitting incentives for any health outcomes (both SUD- and non-SUD-related). These laws occurred in the contexts of wellness programs, K-12/early childhood education, government public health promotion, and SUD treatment provider licensing. Considering the urgent need to expand evidence-based SUD treatment in rural and underserved areas throughout the US, these findings could inform efforts to develop laws explicitly permitting provision of incentives in SUD care and enhance efforts to disseminate CM more broadly.

Systematic Identification and Categorization of Opioid Prescribing and Dispensing Policies in 16 States and Washington, DC.

OBJECTIVES: State policies can impact opioid prescribing or dispensing. Some state opioid policies have been widely examined in empirical studies, including prescription drug monitoring programs and pain clinic licensure requirements. Other relevant policies might exist that have received limited attention. Our objective was to identify and categorize a wide range of state policies that could affect opioid prescribing/dispensing. METHODS: We used stratified random sampling to select 16 states and Washington, DC, for our sample. We collected state regulations and statutes effective during 2020 from each jurisdiction, using search terms related to opioids, pain management, and prescribing/dispensing. We then conducted qualitative template analysis of the data to identify and categorize policy categories. RESULTS: We identified three dimensions of opioid prescribing/dispensing laws: the prescribing/dispensing rule, its applicability, and its disciplinary consequences. Policy categories of prescribing/dispensing rules included clinic licensure, staff credentials, evaluating the appropriateness of opioids, limiting the initiation of opioids, preventing the diversion or misuse of opioids, and enhancing patient safety. Policy categories related to applicability of the law included the pain type, substance type, practitioner, setting, payer, and prescribing situation. The disciplinary consequences dimension included specific consequences and inspection processes. DISCUSSION: Policy categories within each dimension of opioid prescribing/dispensing laws could become a foundation for creating variables to support empirical analyses of policy effects, improving operationalization of policies in empirical studies, and helping to disentangle the effects of multiple state laws enacted at similar times to address the opioid crisis. Several of the policy categories we identified have been underexplored in previous empirical studies.

Urine drug testing in the context of opioid analgesic prescribing for chronic pain: a content analysis of U.S. state laws in 2022.

BACKGROUND: In response to the opioid crisis, U.S. states have passed laws requiring urine drug testing (UDT) when opioid analgesics are prescribed for chronic pain. We sought to identify state law UDT requirements. METHODS: We searched NexisUni legal database using terms related to UDT, chronic pain, and opioids. We included laws effective during spring 2022 that required UDT when opioids were prescribed for chronic pain. We performed deductive content analysis, coding laws for mandated UDT frequency, type of clinician and type of payer to whom the law applied, and circumstances under which UDT was mandated. RESULTS: We found 32 laws across 13 states that met our inclusion criteria. UDT requirements varied substantially by state, including with regard to the type of clinician to whom the law applied, the mandated frequency of UDT (eg, at initiation/assessment, at least annually, more than once per year), and the circumstances in which UDT was mandated (eg, patient had substance use disorder; dosage/day threshold). DISCUSSION: Relatively few states have UDT mandates associated with prescribing opioids as chronic pain treatment. When developing policy indicators for empirical studies, researchers evaluating how UDT policy affects health outcomes must consider the complexity and lack of uniformity of UDT requirements. In addition, even if states mandate UDT, it is unclear whether clinicians understand the best way to use the test results.

Medical marijuana access and prolonged opioid use among adolescents and young adults.

BACKGROUND AND OBJECTIVES: Laws liberalizing access to medical marijuana are associated with reduced opioid analgesic use among adults, but little is known about the impact of such policies on adolescents and young adults. METHODS: This retrospective cohort study used 2005 to 2014 claims from MarketScan® Commercial database, which covers all 50 states and Washington D.C. The sample included 195,204 adolescent and young adult patients (aged 12-25) who underwent one of 13 surgical procedures. RESULTS: Of the 195,204 patients, 4.8% had prolonged opioid use. Several factors were associated with a higher likelihood of prolonged opioid use, including being female (adjusted odds ratio [aOR], 1.27; 95% confidence interval [CI], 1.21-1.33), longer hospital stay (aOR, 1.04; 95% CI, 1.02-1.06), greater days of index opioid supply (8-14 days: aOR, 1.39, 95% CI, 1.33-1.45; greater than 14 days: aOR, 2.42, 95% CI, 2.26-2.59), rural residence (aOR, 1.07; 95% CI, 1.01-1.14), and cholecystectomy (aOR, 1.16; 95% CI, 1.08-1.25). There was not a significant association of medical marijuana dispensary laws on prolonged opioid use (aOR, 0.98; 95% CI, 0.81-1.18). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Medical marijuana has been suggested as a substitute for opioids, but our results focusing on adolescents and young adults provide new evidence that this particularly vulnerable population does not exhibit reductions in prolonged use of opioids after surgery when they have legal access to medical marijuana. These findings are the first to demonstrate potentially important age differences in sustained use of opioids, and point to the need for prescriber oversight and management with this vulnerable population.

Will the End of the X-Waiver Expand Access to Buprenorphine Treatment? Achieving the Full Potential of the 2023 Consolidated Appropriations Act.

The 2023 Consolidated Appropriations Act repealed the special waiver for prescribing buprenorphine to patients with opioid use disorder, a bipartisan goal long sought by advocates. The change has symbolic importance in recognizing that buprenorphine is a mainstream medical treatment. We argue that the maximum potential of the law can be achieved by addressing three bottlenecks. First, it is important that new training requirements for all controlled substances prescribers be grounded in scientific principles of addiction treatment and are robustly evaluated to ensure they meet quality standards. Second, even with the elimination of the waiver, there are potential constraints from state law such as state-specific requirements that practitioners require counseling or obtain a separate credential, and many states also have limiting scope of practice regulations. We recommend that these requirements are eased wherever possible to improve treatment access. Third, it is critical to build onramps to treatment in settings such as primary care, hospitals, and correctional facilities. While we anticipate that buprenorphine prescribing will primarily occur in high-volume practices, there is the potential to activate a broader workforce to serve as entry points to care. We conclude that the stage is set for significant increases in lifesaving treatment but the difficult task ahead is ensuring that the resources and training are available to build strong capacity.

Exploring the Association of State Policies and the Trajectories of Buprenorphine Prescriber Patient Caseloads.

BACKGROUND: Increasing buprenorphine access is critical to facilitating effective opioid use disorder treatment. Buprenorphine prescriber numbers have increased substantially, but most clinicians who start prescribing buprenorphine stop within a year, and most active prescribers treat very few individuals. Little research has examined state policies' association with the evolution of buprenorphine prescribing clinicians' patient caseloads. METHODS: Our retrospective cohort study design derived from 2006 to 2018 national pharmacy claims identifying buprenorphine prescribers and the number of patients treated monthly. We defined persistent prescribers based on results from a k-clustering approach and were characterized by clinicians who did not quickly stop prescribing and had average monthly caseloads greater than 5 patients for much of the first 6 years after their first dispensed prescription. We examined the association between persistent prescribers (dependent variable) and Medicaid coverage of buprenorphine, prior authorization requirements, and mandated counseling policies (key predictors) that were active within the first 2 years after a prescriber's first observed dispensed buprenorphine prescription. We used multivariable logistic regression analyses and entropy balancing weights to ensure better comparability of prescribers in states that did and did not implement policies. RESULTS: Medicaid coverage of buprenorphine was associated with a smaller percentage of new prescribers becoming persistent prescribers (OR = 0.72; 95% CI = 0.53, 0.97). There was no evidence that either mandatory counseling or prior authorization was associated with the odds of a clinician being a persistent prescriber with estimated ORs equal to 0.85 (95% CI = 0.63, 1.16) and 1.13 (95% CI = 0.83, 1.55), respectively. CONCLUSIONS: Compared to states without coverage, states with Medicaid coverage for buprenorphine had a smaller percentage of new prescribers become persistent prescribers; there was no evidence that the other state policies were associated with changes in the rate of clinicians becoming persistent prescribers. Because buprenorphine treatment is highly concentrated among a small group of clinicians, it is imperative to increase the pool of clinicians providing care to larger numbers of patients for longer periods. Greater efforts are needed to identify and support factors associated with successful persistent prescribing.

National Trends in Buprenorphine Treatment for Opioid Use Disorder From 2007 to 2018.

BACKGROUND: Buprenorphine is a key medication to treat opioid use disorder (OUD). Since its approval in 2002, buprenorphine access has grown markedly, spurred by major federal and state policy changes. This study characterizes buprenorphine treatment episodes during 2007 to 2018 with respect to payer, provider specialty, and patient demographics. METHODS: In this observational cohort study, IQVIA Real World pharmacy claims data were used to characterize trends in buprenorphine treatment episodes across four time periods: 2007-2009, 2010-2012, 2013-2015, and 2016-2018. RESULTS: In total, we identified more than 4.1 million buprenorphine treatment episodes among 2 540 710 unique individuals. The number of episodes doubled from 652 994 in 2007-2009 to 1 331 980 in 2016-2018. Our findings indicate that the payer landscape changed dramatically, with the most pronounced growth observed for Medicaid (increased from 17% of episodes in 2007-2009 to 37% of episodes in 2016-2018), accompanied by relative declines for both commercial insurance (declined from 35 to 21%) and self-pay (declined from 27 to 11%). Adult primary care providers (PCPs) were the dominant prescribers throughout the study period. The number of episodes among adults older than 55 increased more than 3-fold from 2007-2009 to 2016-2018. In contrast, youth under age 18 experienced an absolute decline in buprenorphine treatment episodes. Buprenorphine episodes increased in length from 2007-2018, particularly among adults over age 45. CONCLUSIONS: Our findings demonstrate that the U.S. experienced clear growth in buprenorphine treatment-particularly for older adults and Medicaid beneficiaries-reflecting some key health policy and implementation success stories. Yet, since the prevalence of OUD and fatal overdose rate have also approximately doubled during this period, the observed growth in buprenorphine treatment did not demonstrably impact the pronounced treatment gap. To date, only a minority of individuals with OUD currently receive treatment, indicating continued need for systemic efforts to equitably improve treatment uptake.

"The Problem's Bigger than We Are": Understanding How Local Factors Influence Child Welfare Responses to Substance Use in Pregnancy, A Qualitative Study.

State eligibility for certain federal child welfare funding requires a gubernatorial assurance that infants affected by substances receive plans of safe care (POSC). We conducted 18 interviews with state and county child welfare staff to understand how POSC has been implemented and found variability in practice driven by vague policy, challenges of cross-system collaboration, and a lack of knowledge about substance use disorder. Policy improvements should align requirements with POSC practice and create shared accountability with key partners.

Rapid Discontinuation of Chronic, High-Dose Opioid Treatment for Pain: Prevalence and Associated Factors.

PURPOSE: To examine the prevalence of rapid discontinuation of chronic, high-dose opioid analgesic treatment, and identify associated patient, clinician, and community factors. METHODS: Using 2017-2018 retail pharmacy claims data from IQVIA, we identified chronic, high-dose opioid analgesic treatment episodes discontinued during these years and determined the percent of episodes meeting criteria for rapid discontinuation. We used multivariable logistic regression to estimate the probability of rapid discontinuation, conditional on having a discontinued chronic, high-dose opioid treatment episode, as a function of patient, provider, and county characteristics. RESULTS: We identified 810,120 new, chronic, high-dose opioid treatment episodes discontinued in 2017 or 2018, of which 72.0% (n=583,415) were rapidly discontinued. Rapid discontinuation was significantly more likely among Medicare (aOR 1.14, 95% CI 1.12 to 1.15) and Medicaid enrollees (aOR 1.03, 95% CI 1.02 to 1.05) compared to the commercially insured; in counties with higher fatal overdose rates (aOR 1.03, 95% CI 1.01 to 1.04) compared to counties with the lowest fatal overdose rates; and in counties with a higher percentage of non-white residents (aOR 1.21 for counties in the highest quartile relative to the lowest, 95% CI 1.19 to 1.24). Likelihood of rapid discontinuation also varied by prescriber specialty. CONCLUSIONS: Most chronic, high-dose opioid treatment episodes that ended in 2017 or 2018 were discontinued more rapidly than recommended by clinical guidelines, raising concerns about adverse patient outcomes. Our findings highlight the need to understand what drives discontinuation and to inform safer opioid tapering and discontinuation practices.

Spatial and temporal trends in the diagnosis of opioid-related problems in commercially-insured adolescents and young adults.

Little is known about the extent to which the prevalence of opioid-related problems (ORPs) varies among U.S. adolescents and young adults across geographic regions and over time, information that can help to guide policies that aim to curb the opioid epidemic. A retrospective, cross-sectional design was used to analyze longitudinal claims data from privately insured individuals aged 12-64 years who had an outpatient or inpatient diagnosis of an ORP in the years 2005-2018. The prevalence of opioid-related problem diagnoses (per 10,000) varied considerably across census divisions, both over time and between age groups. Knowledge of the origin of and variation in diagnosed opioid-related problems in terms of age group and census division is important so that interventions and policies can be more targeted and effective.

Subsequent Buprenorphine Treatment Following Emergency Physician Buprenorphine Prescription Fills: A National Assessment 2019 to 2020.

STUDY OBJECTIVE: Buprenorphine treatment for opioid use disorder provided in the emergency department with subsequent buprenorphine treatment by community prescribers is associated with improved outcomes, but the frequency with which this occurs is unknown. We examined the rates of subsequent buprenorphine treatment for buprenorphine-naïve individuals filling buprenorphine prescriptions from emergency physicians and initiated buprenorphine treatment and how such rates varied before and during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Using pharmacy claims capturing an estimated 92% of prescriptions filled at US retail pharmacies, we identified buprenorphine prescriptions filled between February 1, 2019, and November 30, 2020, written by emergency physicians. In this observational study, we calculated the rate at which patients subsequently filled buprenorphine prescriptions from other nonemergency clinicians, the frequency with which subsequent filled prescriptions were from different types of prescribers, and the changes in the rates of subsequent prescriptions following the declaration of the COVID-19 public health emergency. RESULTS: We identified 22,846 prescriptions written by emergency physicians and filled by buprenorphine-naïve patients. They were most commonly paid for by Medicaid and were in metropolitan counties; 28.5% of patients subsequently filled buprenorphine prescriptions written by other clinicians. Adult primary care physicians and advanced practice providers (eg, physician assistants and nurse practitioners) were responsible for most of the subsequent prescriptions. The rates of subsequent prescriptions were 3.5% lower after the COVID-19 public health emergency declaration. CONCLUSION: The majority of patients filling buprenorphine prescriptions written by emergency physicians do not subsequently fill prescriptions written by other clinicians, and the rates of subsequent prescriptions were lower after the declaration of the COVID-19 public health emergency. These findings highlight the need for a system of care that improves buprenorphine treatment continuity of care for patients with opioid use disorder from emergency settings to community treatment providers.

Laws for expanding access to medications for opioid use disorder: a legal analysis of 16 states & Washington D.C.

Background: Medications for opioid use disorder (MOUDs) are the gold standard for OUD treatment but are underused. To our knowledge, no published study has systematically identified and categorized state policy innovations for expanding MOUD utilization.Objective: We sought to identify and categorize state MOUD policy innovations.Methods: Within a stratified random sample of 16 U.S. states and Washington D.C. we searched for 2019 state statutes and regulations related to MOUD in Westlaw legal database. We then identified laws that appeared designed to increase MOUD utilization and categorized them using a template analysis approach.Results: We found 82 laws with one or more MOUD expansion policies. We identified six high-level MOUD expansion policy categories: 1) policies expanding the availability of waivered buprenorphine providers; 2) needs assessments and policies increasing public MOUD awareness; 3) criminal justice system policies; 4) Substance use disorder (SUD) treatment and sober living facility policies; 5) insurance policies; and 6) hospital policies. SUD treatment and housing facility policies, as well as insurance policies, were most common.Conclusions: Multipronged approaches are being pursued by several states to increase MOUD access. Our results can inform policymakers of MOUD expansion approaches in other jurisdictions. Policy categories can serve as the basis for policy variables for future analyses of policy effects.