Matching study design to prescribing intention: The prevalent new-user design for studying abuse-deterrent formulations of opioids.

PURPOSE: In drug studies, research designs requiring no prior exposure to certain drug classes may restrict important populations. Since abuse-deterrent formulations (ADF) of opioids are routinely prescribed after other opioids, choice of study design, identification of appropriate comparators, and addressing confounding by "indication" are important considerations in ADF post-marketing studies. METHODS: In a retrospective cohort study using claims data (2006-2018) from a North Carolina private insurer [NC claims] and Merative MarketScan [MarketScan], we identified patients (18-64 years old) initiating ADF or non-ADF extended-release/long-acting (ER/LA) opioids. We compared patient characteristics and described opioid treatment history between treatment groups, classifying patients as traditional (no opioid claims during prior six-month washout period) or prevalent new users. RESULTS: We identified 8415 (NC claims) and 147 978 (MarketScan) ADF, and 10 114 (NC claims) and 232 028 (MarketScan) non-ADF ER/LA opioid initiators. Most had prior opioid exposure (ranging 64%-74%), and key clinical differences included higher prevalence of recent acute or chronic pain and surgery among patients initiating ADFs compared to non-ADF ER/LA initiators. Concurrent immediate-release opioid prescriptions at initiation were more common in prevalent new users than traditional new users. CONCLUSIONS: Careful consideration of the study design, comparator choice, and confounding by "indication" is crucial when examining ADF opioid use-related outcomes.

Foster Care and Health in Medicaid-Enrolled Children Experiencing Parental Opioid Use Disorder.

Importance: The burden of the US opioid crisis has fallen heavily on children, a vulnerable population increasingly exposed to parental opioid use disorder (POUD) in utero or during childhood. A paucity of studies have investigated foster care involvement among those experiencing parental opioid use during childhood and the associated health and health care outcomes. Objective: To examine the health and health care outcomes of children experiencing POUD with and without foster care involvement. Design, Setting, and Participants: This population-based cohort study used nationwide Medicaid claims data from January 1, 2014, to December 31, 2020. Participants included Medicaid-enrolled children experiencing parental opioid use-related disorder during ages 4 to 18 years. Data were analyzed between January 2023 and February 2024. Exposure: Person-years with (exposed) and without (nonexposed) foster care involvement, identified using Medicaid eligibility, procedure, and diagnostic codes. Main Outcomes and Measures: The main outcomes included physical and mental health conditions, developmental disorders, substance use, and health care utilization. The Pearson χ2 test, the t test, and linear regression were used to compare outcomes in person-years with (exposed) and without (nonexposed) foster care involvement. An event study design was used to examine health care utilization patterns before and after foster care involvement. Results: In a longitudinal sample of 8 939 666 person-years from 1 985 180 Medicaid-enrolled children, 49% of children were females and 51% were males. Their mean (SD) age was 10 (4.2) years. The prevalence of foster care involvement was 3% (276 456 person-years), increasing from 1.5% in 2014 to 4.7% in 2020. Compared with those without foster care involvement (8 663 210 person-years), foster care involvement was associated with a higher prevalence of developmental delays (12% vs 7%), depression (10% vs 4%), trauma and stress (35% vs 7%), and substance use-related disorders (4% vs 1%; P < .001 for all). Foster children had higher rates of health care utilization across a wide array of preventive services, including well-child visits (64% vs 44%) and immunizations (41% vs 31%; P < .001 for all). Health care utilization increased sharply in the first year entering foster care but decreased as children exited care. Conclusions and Relevance: In this cohort study of Medicaid-enrolled children experiencing parental opioid use-related disorder, foster care involvement increased significantly between 2014 and 2020. Involvement was associated with increased rates of adverse health outcomes and health care utilization. These findings underscore the importance of policies that support children and families affected by opioid use disorder, as well as the systems that serve them.

Associations Between a Primary Care-Delivered Alcohol-Related Brief Intervention and Subsequent Opioid-Related Outcomes.

OBJECTIVE: The co-occurrence of unhealthy alcohol use and opioid misuse is high and associated with increased rates of overdose, emergency health care utilization, and death. The current study examined whether receipt of an alcohol-related brief intervention is associated with reduced risk of negative downstream opioid-related outcomes. METHODS: This retrospective cohort study included all VISN-6 Veterans Affairs (VA) patients with Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screening results (N=492,748) from 2014 to 2019. Logistic regression was used to examine the association between documentation of an alcohol-related brief intervention and probability of a new 1) opioid prescription, 2) opioid use disorder (OUD) diagnosis, or 3) opioid-related hospitalization in the following year, controlling for demographic and clinical covariates. RESULTS: Of the veterans, 13% (N=63,804) had "positive" AUDIT-C screen results. Of those, 72% (N=46,216) had a documented alcohol-related brief intervention. Within 1 year, 8.5% (N=5,430) had a new opioid prescription, 1.1% (N=698) had a new OUD diagnosis, and 0.8% (N=499) had a new opioid-related hospitalization. In adjusted models, veterans with positive AUDIT-C screen results who did not receive an alcohol-related brief intervention had higher odds of new opioid prescriptions (adjusted odds ratio [OR]=1.10, 95% CI=1.03-1.17) and new OUD diagnoses (adjusted OR=1.19, 95% CI=1.02-1.40), while new opioid-related hospitalizations (adjusted OR=1.19, 95% CI=0.99-1.44) were higher although not statistically significant. Removal of medications for OUD (MOUD) did not impact associations. All outcomes were significantly associated with an alcohol-related brief intervention in unadjusted models. CONCLUSIONS: The VA's standard alcohol-related brief intervention is associated with subsequent lower odds of a new opioid prescription or a new OUD diagnosis. Results suggest a reduction in a cascade of new opioid-related outcomes from prescriptions through hospitalizations.

Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid.

OBJECTIVES: Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long-term opioid use is associated with several adverse outcomes. Identifying factors associated with long-term opioid use is the first step in developing targeted interventions. The aim of this study was to evaluate risk factors in fibromyalgia patients newly initiated on opioids using machine learning. METHODS: A retrospective cohort study was conducted using a nationally representative primary care dataset from the UK, from the Clinical Research Practice Datalink. Fibromyalgia patients without prior cancer who were new opioid users were included. Logistic regression, a random forest model and Boruta feature selection were used to identify risk factors related to long-term opioid use. Adjusted ORs (aORs) and feature importance scores were calculated to gauge the strength of these associations. RESULTS: In this study, 28 552 fibromyalgia patients initiating opioids were identified of which 7369 patients (26%) had long-term opioid use. High initial opioid dose (aOR: 31.96, mean decrease accuracy (MDA) 135), history of self-harm (aOR: 2.01, MDA 44), obesity (aOR: 2.43, MDA 36), high deprivation (aOR: 2.00, MDA 31) and substance use disorder (aOR: 2.08, MDA 25) were the factors most strongly associated with long-term use. CONCLUSIONS: High dose of initial opioid prescription, a history of self-harm, obesity, high deprivation, substance use disorder and age were associated with long-term opioid use. This study underscores the importance of recognising these individual risk factors in fibromyalgia patients to better navigate the complexities of opioid use and facilitate patient-centred care.

Predictors of MOUD referral among persons with involvement in the criminal legal system.

INTRODUCTION: Opioid use disorder (OUD) is a significant cause of opioid-related fatality, and while medications to treat OUD (MOUD) are effective, disparities remain in the access and uptake of such medications. This study investigated factors that may influence referral to and initiation of MOUD treatment. METHODS: Data from electronic medical records of 677 patients with a history of criminal legal system involvement in a recovery program were used to examine the flow of MOUD referral. RESULTS: Among patients identified as potentially eligible for MOUD treatment, about 38.0 percent were referred and 18.8 percent were confirmed to initiate MOUD treatment. Logistic regression analyses highlighted female gender and unemployment due to incarceration as positive and negative predictors of referral, respectively. The Chi-square test revealed that women and uninsured patients were more likely to initiate referred MOUD treatment. CONCLUSIONS: Data highlight the need for greater connection between referral agencies and MOUD treatment providers, considering factors that may influence referral.

United States marijuana legalization and opioid mortality trends before and during the first year of the COVID-19 pandemic.

BACKGROUND: To determine if marijuana legalization was associated with reduced opioid mortality. STUDY DESIGN: The United States (US) opioid mortality trend during the 2010-2019 decade was compared in states and District of Columbia (jurisdictions) that had implemented marijuana legalization with states that had not. Acceleration of opioid mortality during 2020, the first year of the coronavirus disease 2019 (COVID-19) pandemic, was also compared in recreational and medicinal-only legalizing jurisdictions. METHODS: Joinpoint methodology was applied to the Centers for Disease Control and Prevention WONDER data. Trends in legalizing jurisdictions were cumulative aggregates. RESULTS: The overall opioid and fentanyl death rates and the percentage of opioid deaths due to fentanyl increased more during 2010-2019 in jurisdictions that legalized marijuana than in those that did not (pairwise comparison p = 0.007, 0.05, and 0.006, respectively). By 2019, the all-opioid and fentanyl death rates were 44 and 50 percent greater in the legalizing than in the nonlegalizing jurisdictions, respectively. When the COVID-19 pandemic hit in 2020, jurisdictions that implemented recreational marijuana legalization before 2019 had significantly greater increases in both overall opioid and fentanyl death rates than jurisdictions with medicinal-only legalization. For all-opioids, the mean (95 percent confidence interval) 2019-to-2020 increases were 46.5 percent (36.6, 56.3 percent) and 29.1 percent (20.2, 37.9 percent), respectively (p = 0.02). For fentanyl, they were 115.6 percent (80.2, 151.6 percent) and 55.4 percent (31.6, 79.2 percent), respectively (p = 0.01). CONCLUSIONS: During the past decade, marijuana legalization in the US was associated at the jurisdiction level with a greater acceleration in opioid death rate. An even greater increase in opioid mortality occurred in recreational-legalizing jurisdictions with the onset of the COVID-19 pandemic. Marijuana legalization is correlated with worsening of the US opioid epidemic.

State-level policies and receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVES: To evaluate the association of state-level policies on receipt of opioid regimens informed by Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day recommendations. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new chronic use between January 2014 and March 2015. PARTICIPANTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid prescription. INTERVENTIONS: State-level policies including Prescription Drug Monitoring Program (PDMP) robustness and cannabis policies involving the presence of medical dispensaries and state-wide decriminalization. MAIN OUTCOME MEASURES: NCOUs were placed in three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). Multinomial logistic regression was used to estimate the association of state-level policies with the thresholds while adjusting for relevant patient-specific factors. RESULTS: NCOUs in states with medium or high PDMP robustness had lower odds of receiving medium (adjusted odds ratio [AOR] 0.74; 95 percent confidence interval [CI]: 0.62-0.69) and high (AOR 0.74; 95 percent CI: 0.59-0.92) thresholds. With respect to cannabis policies, NCOUs in states with medical cannabis dispensaries had lower odds of receiving high (AOR 0.75; 95 percent CI: 0.60-0.93) thresholds, while cannabis decriminalization had higher odds of receiving high (AOR 1.24; 95 percent CI: 1.04-1.49) thresholds. CONCLUSION: States with highly robust PDMPs and medical cannabis dispensaries had lower odds of receiving higher opioid thresholds, while cannabis decriminalization correlated with higher odds of receiving high opioid thresholds.

Exploring dual diagnosis in opioid agonist treatment patients: a registry-linkage study in Czechia and Norway.

BACKGROUND: Knowledge of co-occurring mental disorders (termed 'dual diagnosis') among patients receiving opioid agonist treatment (OAT) is scarce. This study aimed (1) to estimate the prevalence and structure of dual diagnoses in two national cohorts of OAT patients and (2) to compare mental disorders between OAT patients and the general populations stratified on sex and standardized by age. METHODS: A registry-linkage study of OAT patients from Czechia (N = 4,280) and Norway (N = 11,389) during 2010-2019 was conducted. Data on mental disorders (F00-F99; ICD-10) recorded in nationwide health registers were linked to the individuals registered in OAT. Dual diagnoses were defined as any mental disorder excluding substance use disorders (SUDs, F10-F19; ICD-10). Sex-specific age-standardized morbidity ratios (SMR) were calculated for 2019 to compare OAT patients and the general populations. RESULTS: The prevalence of dual diagnosis was 57.3% for Czechia and 78.3% for Norway. In Czechia, anxiety (31.1%) and personality disorders (25.7%) were the most prevalent, whereas anxiety (33.8%) and depression (20.8%) were the most prevalent in Norway. Large country-specific variations were observed, e.g., in ADHD (0.5% in Czechia, 15.8% in Norway), implying differences in screening and diagnostic practices. The SMR estimates for any mental disorders were 3.1 (females) and 5.1 (males) in Czechia and 5.6 (females) and 8.2 (males) in Norway. OAT females had a significantly higher prevalence of co-occurring mental disorders, whereas SMRs were higher in OAT males. In addition to opioid use disorder (OUD), other substance use disorders (SUDs) were frequently recorded in both countries. CONCLUSIONS: Results indicate an excess of mental health problems in OAT patients compared to the general population of the same sex and age in both countries, requiring appropriate clinical attention. Country-specific differences may stem from variations in diagnostics and care, reporting to registers, OAT provision, or substance use patterns.

Retention of people who inject drugs enrolled in a 'medications for opioid use disorder' (MOUD) programme in Uganda.

BACKGROUND: Injection Drug use is associated with increased HIV risk behaviour that may result in the transmission of HIV and poor access to HIV prevention and treatment. In 2020, Uganda introduced the 'medication for opioid use disorder (MOUD) treatment' for People who inject drugs (PWID). We analysed the 12-month retention and associated factors among PWID enrolled on MOUD treatment in Kampala, Uganda. METHODS: We conducted a retrospective analysis of 343 PWID with OUD who completed 14 days of methadone induction from September 2020 to July 2022. Retention was defined as the number of individuals still in the programme divided by the total number enrolled, computed at 3-, 6-, 9-, and 12 months using lifetable and Kaplan-Meier survival analyses. Cox proportional regression analyses were conducted to assess factors associated with retention in the programme in the first 12 months. RESULTS: Overall, 243 (71%) of 343 participants stabilized at a methadone dose of 60 mg or more. The majority of participants were males (n = 284, 82.8%), and the median (interquartile range, IQR) age was 31 (26-38) years. Most participants (n = 276, 80.5%) lived 5 km or more away from the MOUD clinic. Thirty (8.8%) were HIV-positive, 52 (15.7%) had a major mental illness and 96 (27.9%) had a history of taking alcohol three months before enrollment. The cumulative retention significantly declined from 83.4% (95%CI = 79.0-87.0) at 3months to 71.9% (95%CI = 67.2-76.6) at 6months, 64% 95%CI = 58.7-68.9) at 9months, and 55.2%; 95% CI (49.8-60.3% at 12months. The 12-month retention was significantly higher for participants on methadone doses of 60 mg or more (adj.HR = 2.1, 95%CI = 1.41-3.22), while participants resident within 5 km of the MOUD clinic were 4.9 times more likely to be retained at 12 months, compared to those residing 5 km or more, (adj. HR = 4.81, 95%CI = 1.54-15). Other factors, including predisposing, need, and enabling factors, were not associated with retention. CONCLUSION: Our study demonstrates acceptable 12-month retention rates for people who inject drugs, comparable to previous studies done in both developing and developed countries. Sustaining and improving retention may require enhanced scaling up of MOUD dose to an optimal level in the first 14 days and reducing the distance between participant locale and MOUD clinics.

Alarming Incidence of Gastric Outlet Obstruction Related to NSAIDS and Synthetic Opioid in North West India.

BACKGROUND: In recent years, there has been an alarming increase in cases of gastric outlet obstruction (GOO) at our center due to drug abuse. So, we conducted this study to know the incidence of nonsteroidal anti-inflammatory drugs (NSAIDs) and synthetic opioid abuse in cases of GOO. METHODS: This was an observational study involving consecutive cases of GOO diagnosed from September 2017 to February 2019. A detailed history, including drug addiction history and clinical examination, was done. Investigations included routine biochemical and hematological tests, upper gastrointestinal endoscopy (UGIE), ultrasonography, rapid urease test (RUT), and histopathology of the diseased area. RESULTS: Among the 102 cases diagnosed with GOO, 62 (60.78%) cases had a history of drug addiction. The drug addiction history was as follows: NSAIDs and opioids in 56, opioids alone in four, and NSAIDs alone in two cases. The most common site of stricture was the second part of the duodenum. The features on histopathology were ulcerations of the mucosa infiltrated by eosinophils, plasma cells, and lymphocytes. CONCLUSION: There is an alarming increase in the incidence of GOO due to NSAIDs and opioid abuse at our center. Efforts should be made to control the indiscriminate use of these over-the-counter drugs to prevent dreaded complications.

Trauma exposure across the lifespan among individuals engaged in treatment with medication for opioid use disorder: differences by gender, PTSD status, and chronic pain.

BACKGROUND: There is little study of lifetime trauma exposure among individuals engaged in medication treatment for opioid use disorder (MOUD). A multisite study provided the opportunity to examine the prevalence of lifetime trauma and differences by gender, PTSD status, and chronic pain. METHODS: A cross-sectional study examined baseline data from participants (N = 303) enrolled in a randomized controlled trial of a mind-body intervention as an adjunct to MOUD. All participants were stabilized on MOUD. Measures included the Trauma Life Events Questionnaire (TLEQ), the Brief Pain Inventory (BPI), and the Posttraumatic Stress Disorder Checklist (PCL-5). Analyses involved descriptive statistics, independent sample t-tests, and linear and logistic regression. RESULTS: Participants were self-identified as women (n = 157), men (n = 144), and non-binary (n = 2). Fifty-seven percent (n = 172) self-reported chronic pain, and 41% (n = 124) scored above the screening cut-off for PTSD. Women reported significantly more intimate partner violence (85%) vs 73%) and adult sexual assault (57% vs 13%), while men reported more physical assault (81% vs 61%) and witnessing trauma (66% vs 48%). Men and women experienced substantial childhood physical abuse, witnessed intimate partner violence as children, and reported an equivalent exposure to accidents as adults. The number of traumatic events predicted PTSD symptom severity and PTSD diagnostic status. Participants with chronic pain, compared to those without chronic pain, had significantly more traumatic events in childhood (85% vs 75%). CONCLUSION: The study found a high prevalence of lifetime trauma among people in MOUD. Results highlight the need for comprehensive assessment and mental health services to address trauma among those in MOUD treatment. TRIAL REGISTRATION: NCT04082637.

Clinical and healthcare use outcomes after cessation of long term opioid treatment due to prescriber workforce exit: quasi-experimental difference-in-differences study.

OBJECTIVE: To examine the association between prescriber workforce exit, long term opioid treatment discontinuation, and clinical outcomes. DESIGN: Quasi-experimental difference-in-differences study SETTING: 20% sample of US Medicare beneficiaries, 2011-18. PARTICIPANTS: People receiving long term opioid treatment whose prescriber stopped providing office based patient care or exited the workforce, as in the case of retirement or death (n=48 079), and people whose prescriber did not exit the workforce (n=48 079). MAIN OUTCOMES: Discontinuation from long term opioid treatment, drug overdose, mental health crises, admissions to hospital or emergency department visits, and death. Long term opioid treatment was defined as at least 60 days of opioids per quarter for four consecutive quarters, attributed to the plurality opioid prescriber. A difference-in-differences analysis was used to compare individuals who received long term opioid treatment and who had a prescriber leave the workforce to propensity-matched patients on long term opioid treatment who did not lose a prescriber, before and after prescriber exit. RESULTS: Discontinuation of long term opioid treatment increased from 132 to 229 per 10 000 patients who had prescriber exit from the quarter before to the quarter after exit, compared with 97 to 100 for patients who had a continuation of prescriber (adjusted difference 1.22 percentage points, 95% confidence interval 1.02 to 1.42). In the first quarter after provider exit, when discontinuation rates were highest, a transient but significant elevation was noted between the two groups of patients in suicide attempts (adjusted difference 0.05 percentage points (95% confidence interval 0.01 to 0.09)), opioid or alcohol withdrawal (0.14 (0.01 to 0.27)), and admissions to hospital or emergency department visits (0.04 visits (0.01 to 0.06)). These differences receded after one to two quarters. No significant change in rates of overdose was noted. Across all four quarters after prescriber exit, an increase was reported in the rate of mental health crises (0.39 percentage points (95% confidence interval 0.08 to 0.69)) and opioid or alcohol withdrawal (0.31 (0.014 to 0.58)), but no change was seen for drug overdose (-0.12 (-0.41 to 0.18)). CONCLUSIONS: The loss of a prescriber was associated with increased occurrences of discontinuation of long term opioid treatment and transient increases in adverse outcomes, such as suicide attempts, but not other outcomes, such as overdoses. Long term opioid treatment discontinuation may be associated with a temporary period of adverse health impacts after accounting for unobserved confounding.

Using decision tree models and comprehensive statewide data to predict opioid overdoses following prison release.

PURPOSE: Identifying predictors of opioid overdose following release from prison is critical for opioid overdose prevention. METHODS: We leveraged an individually linked, state-wide database from 2015-2020 to predict the risk of opioid overdose within 90 days of release from Massachusetts state prisons. We developed two decision tree modeling schemes: a model fit on all individuals with a single weight for those that experienced an opioid overdose and models stratified by race/ethnicity. We compared the performance of each model using several performance measures and identified factors that were most predictive of opioid overdose within racial/ethnic groups and across models. RESULTS: We found that out of 44,246 prison releases in Massachusetts between 2015-2020, 2237 (5.1%) resulted in opioid overdose in the 90 days following release. The performance of the two predictive models varied. The single weight model had high sensitivity (79%) and low specificity (56%) for predicting opioid overdose and was more sensitive for White non-Hispanic individuals (sensitivity = 84%) than for racial/ethnic minority individuals. CONCLUSIONS: Stratified models had better balanced performance metrics for both White non-Hispanic and racial/ethnic minority groups and identified different predictors of overdose between racial/ethnic groups. Across racial/ethnic groups and models, involuntary commitment (involuntary treatment for alcohol/substance use disorder) was an important predictor of opioid overdose.

[Opioid use and misuse among patients at the emergency department]. / Opioïdgebruik en -misbruik onder patiënten op de SEH.

OBJECTIVE: To determine the prevalence of use and misuse of prescription opioids among patients at Dutch emergency departments (EDs). DESIGN: Cross-sectional multicenter study. METHOD: This study was performed at three EDs in the Nijmegen-Arnhem region. ED-patients of 18 years and older were screened for current opioid use. The Current Opioid Misuse Measure (COMM) questionnaire was used to assess opioid misuse. The presence of opioid use disorder was determined using DSM-5 based interviews. RESULTS: A total of 997 patients was screened for opioid use. The prevalence of opioid use was 15.0% (95%CI 12.9 -17.4). 22.6% (95%CI 14.6-32.4) scored positive for opioid misuse, 9.8% (95%CI 4.5-17.8) fulfilled DSM-5 criteria for opioid use disorder. CONCLUSION: Opioid use and misuse are relatively common among patients in Dutch EDs.

Prenatal opioid exposure by likelihood of exposure and risk to prenatal development: Medicaid-covered births in Wisconsin, 2010-2019.

Prenatal opioid exposure is an established public health problem, in particular among Medicaid-covered births. Yet, existing prevalence rates are plausibly underestimated. We leverage extensive linked longitudinal administrative data for all Medicaid-covered live births in Wisconsin from 2010 to 2019 to estimate a range of prevalence rates using an innovative strategy that jointly accounts for both likelihood of exposure and potential risk to prenatal development. We find that 20.8% of infants may have been prenatally exposed to opioids, with 1.7% diagnosed with neonatal abstinence syndrome and an additional 1.2% having a high combined likelihood of exposure and potential risk to prenatal development, 2.6% a moderate combined likelihood and risk, and 15.3% a low or uncertain combined likelihood and risk. We assess improvements in prevalence estimates based on our nuanced classification relative to those of prior studies. Our strategy could be broadly used to quantify the scope of the opioid crisis for pregnant populations, target interventions, and promote child health and development.

Opioid Use Disorder among Hospitalized Adults in North Carolina: Analysis from the 2000-2020 NC State Inpatient Database.

OBJECTIVES: Opioid use disorder (OUD) is characterized as a chronic condition that was first outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and now the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. It encompasses frequent opioid usage, cravings, the development of tolerance, withdrawal symptoms upon discontinuation, unsuccessful attempts to quit or reduce use, and recurrent use even when faced with negative consequences. Both national- and state-level data show that overdose deaths associated with prescription opioids are increasing at an alarming rate. The increasing overdose deaths from illicitly manufactured fentanyl and other synthetic opioids compound this epidemic's burden. The present study sought to determine the prevalence and potential factors associated with OUD in North Carolina. METHODS: Using the State Inpatient Database, a retrospective cross-sectional study was conducted to identify OUD-related discharges between 2000 and 2020. Descriptive statistics and rates of OUD per 1000 discharges were calculated. Simple and multivariable logistic regression models were used to identify factors associated with increased odds of having an opioid use disorder diagnosis at discharge. The deviance-Pearson goodness of fit statistic was also used. Variables were identified using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, Clinical Modification, codes in the discharge records. RESULTS: Of 19,370,483 hospitalizations that occurred between 2000 and 2020 in North Carolina, 483,250 were associated with OUD, a prevalence rate of 24.9 cases per 1000 discharges. The highest OUD rates were seen among adults who self-paid for their hospitalization, those with Medicaid, and those with other types of payors such as Workers' Compensation and the Indian Health Service; individuals between 25 and 54 years old; tobacco and alcohol users; Native American patients; patients located in urban areas; patients with lower household income; White patients; and female patients. OUD also was associated with increased odds of having one or more comorbid psychiatric disorders when controlling for other factors. CONCLUSIONS: Although preventive measures are crucial, including policies that discourage prescribing opioids for noncancer pain and those that target the manufacturing and distribution of synthetic opioids, providing integrated care for patients with OUD and co-occurring psychiatric and/or physical disorders is equally important. These findings suggest the need for a system-wide public health response focused on the expansion of primary prevention and treatment efforts, including crisis services, harm reduction services, and recovery programs.

Association of buprenorphine retention and subsequent adverse outcomes following non-fatal overdose: An analysis using statewide linked Maryland databases.

INTRODUCTION: Patients receiving buprenorphine after a non-fatal overdose have lower risk of future nonfatal or fatal overdose, but less is known about the relationship between buprenorphine retention and the risk of adverse outcomes in the post-overdose year. OBJECTIVE: To examine the relationship between the total number of months with an active buprenorphine prescription (retention) and the odds of an adverse outcome within the 12 months following an index non-fatal overdose. MATERIALS AND METHODS: We studied a cohort of people with an index non-fatal opioid overdose in Maryland between July 2016 and December 2020 and at least one filled buprenorphine prescription in the 12-month post-overdose observation period. We used individually linked Maryland prescription drug and hospital admissions data. Multivariable logistic regression models were used to examine buprenorphine retention and associated odds of experiencing a second non-fatal overdose, all-cause emergency department visits, and all-cause hospitalizations. RESULTS: Of 5439 people, 25% (n=1360) experienced a second non-fatal overdose, 78% had an (n=4225) emergency department visit, and 37% (n=2032) were hospitalized. With each additional month of buprenorphine, the odds of experiencing another non-fatal overdose decreased by 4.7%, all-cause emergency department visits by 5.3%, and all-cause hospitalization decreased by 3.9% (p<.0001, respectively). Buprenorphine retention for at least nine months was a critical threshold for reducing overdose risk versus shorter buprenorphine retention. CONCLUSIONS: Buprenorphine retention following an index non-fatal overdose event significantly decreases the risk of future overdose, emergency department use, and hospitalization even among people already on buprenorphine.

Access to Mental Health and Substance Use Treatment in Comprehensive Primary Care Plus.

Importance: To meet increasing demand for mental health and substance use services, the Centers for Medicare & Medicaid Services launched the 5-year Comprehensive Primary Care Plus (CPC+) demonstration in 2017, requiring primary care practices to integrate behavioral health services. Objective: To examine the association of CPC+ with access to mental health and substance use treatment before and during the COVID-19 pandemic. Design, Setting, and Participants: Using difference-in-differences analyses, this retrospective cohort study compared adults attributed to CPC+ and non-CPC+ practices, from January 1, 2018, to June 30, 2022. The study included adults aged 19 to 64 years who had depression, anxiety, or opioid use disorder (OUD) and were enrolled with a private health insurer in Pennsylvania. Data were analyzed from January to June 2023. Exposure: Receipt of care at a practice participating in CPC+. Main Outcomes and Measures: Total cost of care and the number of primary care visits for evaluation and management, community mental health center visits, psychiatric hospitalizations, substance use treatment visits (residential and nonresidential), and prescriptions filled for antidepressants, anxiolytics, buprenorphine, naltrexone, or methadone. Results: The 188 770 individuals in the sample included 102 733 adults (mean [SD] age, 49.5 [5.6] years; 57 531 women [56.4%]) attributed to 152 CPC+ practices and 86 037 adults (mean [SD] age, 51.6 [6.6] years; 47 321 women [54.9%]) attributed to 317 non-CPC+ practices. Among patients diagnosed with OUD, compared with patients attributed to non-CPC+ practices, attribution to a CPC+ practice was associated with filling more prescriptions for buprenorphine (0.117 [95% CI, 0.037 to 0.196] prescriptions per patient per quarter) and anxiolytics (0.162 [95% CI, 0.005 to 0.319] prescriptions per patient per quarter). Among patients diagnosed with depression or anxiety, attribution to a CPC+ practice was associated with more prescriptions for buprenorphine (0.024 [95% CI, 0.006 to 0.041] prescriptions per patient per quarter). Conclusions and Relevance: Findings of this cohort study suggest that individuals with an OUD who received care at a CPC+ practice filled more buprenorphine and anxiolytics prescriptions compared with patients who received care at a non-CPC+ practice. As the Centers for Medicare & Medicaid Innovation invests in advanced primary care demonstrations, it is critical to understand whether these models are associated with indicators of high-quality primary care.

A Dynamic Model of Opioid Overdose Deaths in Canada during the Co-Occurring Opioid Overdose Crisis and COVID-19 Pandemic.

With over 40,000 opioid-related overdose deaths between January 2016 and June 2023, the opioid-overdose crisis is a significant public health concern for Canada. The opioid crisis arose from a complex system involving prescription opioid use, the use of prescription opioids not as prescribed, and non-medical opioid use. The increasing presence of fentanyl and its analogues in the illegal drugs supply has been an important driver of the crisis. In response to the overdose crisis, governments at the municipal, provincial/territorial, and federal levels have increased actions to address opioid-related harms. At the onset of the COVID-19 pandemic, concerns emerged over how the pandemic context may impact the opioid overdose crisis. Using evidence from a number of sources, we developed a dynamic mathematical model of opioid overdose death to simulate possible trajectories of overdose deaths during the COVID-19 pandemic. This model incorporates information on prescription opioid use, opioid use not as prescribed, non-medical opioid use, the level of fentanyl in the drug supply, and a measure of the proportion deaths preventable by new interventions. The simulated scenarios provided decision makers with insight into possible trajectories of the opioid crisis in Canada during the COVID-19 pandemic, highlighting the potential of the crisis to take a turn for the worse under certain assumptions, and thus, informing planning during a period when surveillance data were not yet available. This model provides a starting point for future models, and through its development, we have identified important data and evidence gaps that need to be filled in order to inform future action.