Opioid-related Overdose Mortality Research Articles

Impact of the Communities That HEAL Intervention on Buprenorphine-Waivered Practitioners and Buprenorphine Prescribing

Buprenorphine significantly reduces opioid-related overdose mortality. From 2002 to 2022, the Drug Addiction Treatment Act of 2000 (DATA 2000) required qualified practitioners to receive a waiver from the Drug Enforcement Agency to prescribe buprenorphine for treatment of opioid use disorder. During this period, waiver uptake among practitioners was modest; subsequent changes need to be examined. To determine whether the Communities That HEAL (CTH) intervention increased the rate of practitioners with DATA 2000 waivers and buprenorphine prescribing. This prespecified secondary analysis of the HEALing Communities Study, a multisite, 2-arm, parallel, community-level, cluster randomized, open, wait-list-controlled comparison clinical trial was designed to assess the effectiveness of the CTH intervention and was conducted between January 1, 2020, to December 31, 2023, in 67 communities in Kentucky, Massachusetts, New York, and Ohio, accounting for approximately 8.2 million adults. The participants in this trial were communities consisting of counties (n = 48) and municipalities (n = 19). Trial arm randomization was conducted using a covariate constrained randomization procedure stratified by state. Each state was balanced by community characteristics including urban/rural classification, fatal opioid overdose rate, and community population. Thirty-four communities were randomized to the intervention and 33 to wait-list control arms. Data analysis was conducted between March 20 and September 29, 2023, with a focus on the comparison period from July 1, 2021, to June 30, 2022. Waiver trainings and other educational trainings were offered or supported by the HEALing Communities Study research sites in each state to help build practitioner capacity. The rate of practitioners with a DATA 2000 waiver (overall, and stratified by 30-, 100-, and 275-patient limits) per 100 000 adult residents aged 18 years or older during July 1, 2021, to June 30, 2022, were compared between the intervention and wait-list control communities. The rate of buprenorphine prescribing among those waivered practitioners was also compared between the intervention and wait-list control communities. Intention-to-treat and per-protocol analyses were performed. A total of 8 166 963 individuals aged 18 years or older were residents of the 67 communities studied. There was no evidence of an effect of the CTH intervention on the adjusted rate of practitioners with a DATA 2000 waiver (adjusted relative rate [ARR], 1.04; 95% CI, 0.94-1.14) or the adjusted rate of practitioners with a DATA 2000 waiver who actively prescribed buprenorphine (ARR, 0.97; 95% CI, 0.86-1.10). In this randomized clinical trial, the CTH intervention was not associated with increases in the rate of practitioners with a DATA 2000 waiver or buprenorphine prescribing among those waivered practitioners. Supporting practitioners to prescribe buprenorphine remains a critical yet challenging step in the continuum of care to treat opioid use disorder. ClinicalTrials.gov Identifier: NCT04111939.

Expert Views on State Policies to Improve Engagement and Retention in Treatment for Opioid Use Disorder: A Qualitative Analysis of an Online Modified Delphi Process.

The aim of this study was to examine expert views on the effectiveness and implementability of state policies to improve engagement and retention in treatment for opioid use disorder (OUD). We conducted a 3-round modified Delphi process using the online ExpertLens platform. Participants included 66 experts on OUD treatment policies. Experts commented on 14 hypothetical state policies targeting treatment engagement and quality of care. Using the GRADE Evidence-to-Decision framework, we conducted reflexive thematic analysis to develop patterns of meaning from the dataset. Only policies for providing continued access to evidence-based treatment for highly at-risk populations, settings, and periods were seen as effective in meaningfully reducing population-level opioid-related overdose mortality. Experts commented that, although the general public increasingly supports policies expanding medications for OUD and evidence-based care, ongoing stigma about OUD encourages public acceptance of punitive and paternalistic policies. Experts viewed all policies as at least moderately feasible given the current infrastructure and resources, with affordability reliant on long-term cost savings from reduced opioid-related harms. Equitability depended on whether experts perceived a policy as inherently equitable in its design as well as concerns about the potential for inequitable implementation due to structural oppression and interpersonal biases in criminal-legal, healthcare, and other systems. Experts believe that supportive (rather than punitive) policies improve engagement and retention in OUD treatment. States could prioritize implementing supportive policies that are patient-centered and take a harm-reduction approach to enhance medications for OUD access and utilization. States could consider deimplementing punitive policies that are coercive, take an abstinence-only approach, and use punitive and restrictive measures.

Small Area Forecasting of Opioid-Related Mortality: Bayesian Spatiotemporal Dynamic Modeling Approach

Opioid-related overdose mortality has remained at crisis levels across the United States, increasing 5-fold and worsened during the COVID-19 pandemic. The ability to provide forecasts of opioid-related mortality at granular geographical and temporal scales may help guide preemptive public health responses. Current forecasting models focus on prediction on a large geographical scale, such as states or counties, lacking the spatial granularity that local public health officials desire to guide policy decisions and resource allocation. The overarching objective of our study was to develop Bayesian spatiotemporal dynamic models to predict opioid-related mortality counts and rates at temporally and geographically granular scales (ie, ZIP Code Tabulation Areas [ZCTAs]) for Massachusetts. We obtained decedent data from the Massachusetts Registry of Vital Records and Statistics for 2005 through 2019. We developed Bayesian spatiotemporal dynamic models to predict opioid-related mortality across Massachusetts' 537 ZCTAs. We evaluated the prediction performance of our models using the one-year ahead approach. We investigated the potential improvement of prediction accuracy by incorporating ZCTA-level demographic and socioeconomic determinants. We identified ZCTAs with the highest predicted opioid-related mortality in terms of rates and counts and stratified them by rural and urban areas. Bayesian dynamic models with the full spatial and temporal dependency performed best. Inclusion of the ZCTA-level demographic and socioeconomic variables as predictors improved the prediction accuracy, but only in the model that did not account for the neighborhood-level spatial dependency of the ZCTAs. Predictions were better for urban areas than for rural areas, which were more sparsely populated. Using the best performing model and the Massachusetts opioid-related mortality data from 2005 through 2019, our models suggested a stabilizing pattern in opioid-related overdose mortality in 2020 and 2021 if there were no disruptive changes to the trends observed for 2005-2019. Our Bayesian spatiotemporal models focused on opioid-related overdose mortality data facilitated prediction approaches that can inform preemptive public health decision-making and resource allocation. While sparse data from rural and less populated locales typically pose special challenges in small area predictions, our dynamic Bayesian models, which maximized information borrowing across geographic areas and time points, were used to provide more accurate predictions for small areas. Such approaches can be replicated in other jurisdictions and at varying temporal and geographical levels. We encourage the formation of a modeling consortium for fatal opioid-related overdose predictions, where different modeling techniques could be ensembled to inform public health policy.

Variability in Opioid-Related Drug Overdoses, Social Distancing, and Area-Level Deprivation during the COVID-19 Pandemic: a Bayesian Spatiotemporal Analysis.

Monitoring the spatial and temporal course of opioid-related drug overdose mortality is a key public health determinant. Despite previous studies exploring the evolution of drug-related fatalities following the stay-at-home mandates during the COVID-19 pandemic, little is known about the spatiotemporal dynamics that mitigation efforts had on overdose deaths. The purpose of this study was to describe the spatial and temporal dynamics of overdose death relative risk using a 4-week interval over a span of 5 months following the implementation of the COVID-19 lockdown in the city of Chicago, IL. A Bayesian space–time model was used to produce posterior risk estimates and exceedance probabilities of opioid-related overdose deaths controlling for measures of area-level deprivation and stay-at-home mandates. We found that area-level temporal risk and inequalities in drug overdose mortality increased significantly in the initial months of the pandemic. We further found that a change in the area-level deprivation from the first to the fourth quintile increased the relative risk of a drug overdose risk by 44.5%. The social distancing index measuring the proportion of persons who stayed at home in each census block group was not associated with drug overdose mortality. We conclude by highlighting the importance of contextualizing the spatial and temporal risk in overdose mortality for implementing effective and safe harm reduction strategies during a global pandemic.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11524-022-00675-x.

The role of increasing pharmacy and community distributed naloxone in the opioid overdose epidemic in Massachusetts, Rhode Island, and New York City

BackgroundNaloxone distributed to people at risk for opioid overdose has been associated with reduced overdose death rates; however, associations of retail pharmacy-distributed naloxone with overdose mortality have not been evaluated. MethodsOur analytic cohort uses retail pharmacy claims data; three health departments’ community distribution data; federal opioid overdose data; and American Community Survey data. Data were analyzed by 3-digit ZIP Code and calendar quarter-year (2016Q1–2018Q4), and weighted by population. We regressed opioid-related overdose mortality on retail-pharmacy and community naloxone distribution, and community-level demographics using a linear model, hypothesizing that areas with high overdose rates would have higher current levels of naloxone distribution but that increasing naloxone distribution from one quarter to the next would be associated with lower overdose. ResultsFrom Q1–2016 to Q4–2018, the unadjusted naloxone distribution rate increased from 97 to 257 kits per 100,000 persons, while the unadjusted opioid overdose mortality rate fell from 8.1 to 7.2 per 100,000 persons. The concurrent level of naloxone distribution (both pharmacy and community) was positively and significantly associated with fatal opioid overdose rates. We did not detect associations between change in naloxone distribution rates and overdose mortality. ConclusionNaloxone distribution volumes were correlated with fatal opioid overdose, suggesting medication was getting to communities where it was needed most. Amid high rates of overdose driven by fentanyl in the drug supply, our findings suggest additional prevention, treatment, and harm reduction interventions are required—and dramatically higher naloxone volumes needed—to reverse the opioid overdose crisis in the US.

Effectiveness and implementability of state-level naloxone access policies: Expert consensus from an online modified-Delphi process.

Naloxone distribution, a key global strategy to prevent fatal opioid overdose, has been a recent target of legislation in the U.S., but there is insufficient empirical evidence from causal inference methods to identify which components of these policies successfully reduce opioid-related harms. This study aimed to examine expert consensus on the effectiveness and implementability of various state-level naloxone policies. We used the online ExpertLens platform to conduct a three-round modified-Delphi process with a purposive sample of 46 key stakeholders (advocates, healthcare providers, human/social service practitioners, policymakers, and researchers) with naloxone policy expertise. The Effectiveness Panel (n=24) rated average effects of 15 types of policies on naloxone pharmacy distribution, opioid use disorder (OUD) prevalence, nonfatal opioid-related overdoses, and opioid-related overdose mortality. The Implementation Panel (n=22) rated the same policies on acceptability, feasibility, affordability, and equitability. We compared ratings across policies using medians and inter-percentile ranges, with consensus measured using the RAND/UCLA Appropriateness Method Inter-Percentile Range Adjusted for Symmetry technique. Experts reached consensus on all items. Except for liability protections and required provision of education or training, experts perceived all policies to generate moderate-to-large increases in naloxone pharmacy distribution. However, only three policies were expected to yield substantive decreases on fatal overdose: statewide standing/protocol order, over-the-counter supply, and statewide "free naloxone." Of these, experts rated only statewide standing/protocol orders as highly affordable and equitable, and unlikely to generate meaningful population-level effects on OUD or nonfatal opioid-related overdose. Across all policies, experts rated naloxone prescribing mandates relatively lower in acceptability, feasibility, affordability, and equitability. Experts believe statewide standing/protocol orders are an effective, implementable, and equitable policy for addressing opioid-related overdose mortality. While experts believe many other broad policies are effective in reducing opioid-related harms, they also believe these policies face implementation challenges related to cost and reaching vulnerable populations.

Legal System Involvement and Opioid-Related Overdose Mortality in U.S. Department of Veterans Affairs Patients

Opioid-related overdose risks are elevated after incarceration. The rates of opioid-related overdose mortality have risen in recent years, including among Veterans Health Administration patients. To inform Veteran overdose prevention, this study evaluates whether opioid-related overdose risks differ for Veterans Health Administration patients with versus those without indicators of legal system involvement. This retrospective national cohort study, conducted in 2019-2021, used Veterans Health Administration electronic health records and death certificate data from the Department of Veterans Affairs/Department of Defense Mortality Data Repository to examine opioid-related overdose mortality from January 1, 2013 through December 31, 2017. The cohort included 5,390,902 Veterans with Veterans Health Administration inpatient or outpatient encounters in 2012 who were alive as of January 1, 2013, of whom 32,284 (0.60%) patients had legal system involvement in 2012, indicated by Veterans Justice Programs outpatient encounters. Cox proportional hazards regression models assessed the associations between legal involvement and risk of opioid-related overdose mortality. There were 4,670 opioid-related overdose deaths, including 295 (6.31%) among legal-involved Veterans. Veterans with legal involvement had a higher opioid-related overdose mortality rate per 100,000 person-years (191.22, 95% CI=169.40, 213.04 vs 17.76, 95% CI=17.23, 18.29, p<0.001) and an elevated risk of opioid-related overdose mortality (adjusted hazard ratio=1.38, 95% CI=1.22, 1.57, p<0.001) compared with those without. Among Veterans receiving Veterans Health Administration care in 2012, documented legal system involvement was associated with an increased risk of opioid-related overdose mortality. Targeting overdose education and naloxone distribution programs and integrating opioid overdose prevention efforts into mental health care may reduce opioid overdose deaths among Veterans with legal involvement.

Considering the Potential Benefits of Over-the-Counter Naloxone.

Since 1999, annual opioid-related overdose (ORO) mortality has increased more than six-fold. In response to this crisis, the US Department of Health and Human Services outlined a 5-point strategy to reduce ORO mortality which included the widespread distribution of naloxone, an opioid antagonist that can rapidly reverse an opioid overdose. Increased distribution has been facilitated by the implementation of naloxone access laws in each US state aimed at increasing community access to naloxone. While these laws differ from state-to-state, most contain mechanisms to enable pharmacists to dispense naloxone without a patient-specific prescription. These laws have enhanced community naloxone distribution, both from pharmacies and overdose education and naloxone distribution programs, and produced positive effects on ORO mortality. However, a growing body of evidence has revealed that significant barriers to naloxone access from pharmacies remain, and annual ORO deaths have continued to climb. Given these concerns, there has been a push among some clinicians and policymakers for the US Food and Drug Administration to re-classify naloxone as an over-the-counter (OTC) medication as a means to further increase its accessibility. If an OTC transition occurs, educational outreach and funding for clinical innovations will continue to be crucial given the important role of health professionals in recommending naloxone to people at risk for experiencing or witnessing an ORO. Recognizing the severity of the ORO public health crisis, we believe transitioning formulations of naloxone approved for layperson use to OTC status would result in a net benefit through increased access. However, such a change should be combined with measures to ensure affordability.

Opioid-related overdose mortality in the era of fentanyl: Monitoring a shifting epidemic by person, place, and time

BackgroundWith the emergence of illicit fentanyl, fentanyl-involved overdose rates increased from 2013 to 2017 in the United States (US). We describe US trends in opioid-related overdose mortality rates by race, age, urbanicity, and opioid type before and after the emergence of fentanyl. MethodsUsing the Centers for Disease Control and Prevention’s WONDER database, we estimated crude and age-standardized opioid-related overdose mortality rates at the intersections of race (non-Hispanic [NH] Black and white), age (<55 and ≥55 years), sex (male and female) and urbanicity (urban and rural residence) from 2005 to 2017. We compare relative changes in mortality from 2013 to 17, and describe changes in the contributions of fentanyl, heroin, and other opioids to opioid-related overdose mortality. ResultsFrom 2013 to 2017, the overall opioid overdose mortality rate was consistently higher in NH white Americans, however, the rate increase was greater among NH Black (174 %) compared to NH white (85 %) Americans. The steepest increases occurred in the overdose rates between 2013 and 2017 among younger (aged <55 years) urban NH Black Americans (178 % increase). Among older (≥55 years) adults, only urban NH Black Americans had an increase in overdose-related mortality rate (87 % increase). Urban NH Black Americans also experienced the greatest increase in the percent of fentanyl-involved deaths (65 % in younger, 61 % in older). ConclusionsIn the era of increased availability of illicitly manufactured fentanyl (2013–2017), there has been a disproportionate increase in opioid-related overdose deaths among urban NH Black Americans. Interventions for urban NH Black Americans are urgently needed to halt the increase in overdose deaths.

Optimizing the impact of medications for opioid use disorder at release from prison and jail settings: A microsimulation modeling study

BackgroundWe examined the impact of expanded access to medications for opioid use disorder (MOUD) in a unified prison and jail system on post-release, opioid-related overdose mortality. MethodsWe developed a microsimulation model to simulate a population of 55,000 persons at risk of opioid-related overdose mortality in Rhode Island. The effect of an extended-release (XR) naltrexone only intervention and the effect of providing access to all three MOUD (i.e., methadone, buprenorphine, and XR-naltrexone) at release from incarceration on cumulative overdose death over eight years (2017–2024) were compared to the standard of care (i.e., limited access to MOUD). ResultsIn the standard of care scenario, the model predicted 2385 opioid-related overdose deaths between 2017 and 2024. An XR-naltrexone intervention averted 103 deaths (4.3% reduction), and access to all three MOUD averted 139 deaths (5.8% reduction). Among those with prior year incarceration, an XR-naltrexone only intervention and access to all three MOUD reduced overdose deaths by 22.8% and 31.6%, respectively. ConclusionsExpanded access to MOUD in prison and jail settings can reduce overdose mortality in a general, at-risk population. However, the real-world impact of this approach will vary by levels of incarceration, treatment enrollment, and post-release retention.

Systematic review of the emerging literature on the effectiveness of naloxone access laws in the United States.

Naloxone access laws (NALs) have been suggested to be an important strategy to reduce opioid-related harm. We describe the evolution of NALs across states and over time and review existing evidence of their overall association with naloxone distribution and opioid overdose as well as the potential effects of specific NAL components. Descriptive analysis of temporal variation in US regional adoption of NAL components, accompanied by a systematic search of 13 databases for studies (published between 2005 and 20December 2019) assessing the effects of NALs on naloxone distribution or opioid-related health outcomes. Eleven studies, all published since 2018, met inclusion criteria. Study time-frames spanned 1999-2017. Opioid-related overdose mortality, emergency department episodes and naloxone distribution were correlated with the presence of a NAL and, where data were available, NAL components. Existing evidence suggests mixed, but generally beneficial, effects for NALs. Nearly all studies show that NALs, particularly those that permit naloxone distribution without patient-specific prescriptions, are associated with increased naloxone access [incidence rate ratios (IRR) range from 1.40, 95% confidence interval (CI)=1.15-1.66 to 7.75, 95% CI=1.22-49.35] and increased opioid-related emergency department visits (IRR range from 1.14, 95% CI=1.07-1.20 to 1.15, 95% CI=1.02-1.29). Most studies show NALs are associated with reduced overdose mortality, although findings vary depending on the specific NAL components and time-period analyzed (IRR range from 0.66, 95% CI=0.42-0.90 to 1.27, 95% CI=1.27-1.27). Few studies account for the variation in opioid environments (i.e. illicit versus prescription) or other policy dimensions that may be correlated with outcomes. The existing literature on naloxone access laws in the United States supports beneficial effects for increased naloxone distribution, but provides inconclusive evidence for reduced fatal opioid overdose. Mixed findings may reflect variation in the laws' design and implementation, confounding effects of concurrent policy adoption, or differential effectiveness in light of changing opioid environments.

Opioid Use Disorder Treatment Facilities With Programs for Special Populations

Special populations, including veterans, pregnant and postpartum women, and adolescents, benefit from opioid use disorder treatment tailored to their specific needs, but access to such services is poorly described. This study identifies the availability of opioid use disorder treatment facilities that use medications and have special programming and contextualizes facilities amid counties' opioid-related overdose mortality. Data were compiled on 15,945 U.S. treatment facilities using medications for opioid use disorder listed in the Behavioral Health Services Treatment Locator in 2018. Facilities with programs tailored to special populations (veterans, pregnant and postpartum women, and adolescents) were identified and geocoded. Counties with such facilities were characterized. Cold spots (county clusters with poor treatment availability) were identified using Getis-Ord Gi* statistics. Data were extracted in October 2018 and analyzed from October 2018 to May 2019. Of all 3,142 U.S. counties, 1,889 (60.1%) had opioid use disorder treatment facilities. Facilities with tailored programs for veterans, pregnant and postpartum women, and adolescents were located in 701 (22.3%), 918 (29.2%), and 1,062 (33.8%) of the counties, respectively. Specific medications provided for opioid use disorder varied, with only a minority of facilities offering methadone (among facilities with tailored programs for veterans, 6.0%; pregnant and postpartum women, 13.2%; adolescents, 1.3%). Many counties reporting opioid-related overdose deaths lacked programs for special populations (veterans, 72.6%; pregnant and postpartum women, 54.8%; adolescents, 30.6%). Cold spots were located throughout the Midwest, U.S. Southeast, and portions of Texas. Facilities using medications for opioid use disorder with tailored programs for veterans, pregnant and postpartum women, and adolescents are limited. There is a need for improved access to evidence-based programs that address the unique treatment needs of special populations.

Association between mortality rates and medication and residential treatment after in‐patient medically managed opioid withdrawal: a cohort analysis

Medically managed opioid withdrawal (detox) can increase the risk of subsequent opioid overdose. We assessed the association between mortality following detox and receipt of medications for opioid use disorder (MOUD) and residential treatment after detox. Cohort study generated from individually linked public health data sets. Massachusetts, USA. A total of 30 681 opioid detox patients with 61 819 detox episodes between 2012 and 2014. Treatment categories included no post-detox treatment, MOUD, residential treatment or both MOUD and residential treatment identified at monthly intervals. We classified treatment exposures in two ways: (a) 'on-treatment' included any month where a treatment was received and (b) 'with-discontinuation' individuals were considered exposed through the month following treatment discontinuation. We conducted multivariable Cox proportional hazards analyses and extended Kaplan-Meier estimator cumulative incidence for all-cause and opioid-related mortality for the treatment categories as monthly time-varying exposure variables. Twelve months after detox, 41% received MOUD for a median of 3months, 35% received residential treatment for a median of 2months and 13% received both for a median of 5months. In on-treatment analyses for all-cause mortality compared with no treatment, adjusted hazard ratios (AHR) were 0.34 [95% confidence interval (CI)=0.27-0.43] for MOUD, 0.63 (95% CI=0.47-0.84) for residential treatment and 0.11 (95% CI=0.03-0.43) for both. In with-discontinuation analyses for all-cause mortality, compared with no treatment, AHRs were 0.52 (95% CI= 0.42-0.63) for MOUD, 0.76 (95% CI=0.59-0.96) for residential treatment and 0.21 (95% CI=0.08-0.55) for both. Results were similar for opioid-related overdose mortality. Among people who have undergone medically managed opioid withdrawal, receipt of medications for opioid use disorder, residential treatment or the combination of medications for opioid use disorder and residential treatment were associated with substantially reduced mortality compared with no treatment.

Correlations between opioid mortality increases related to illicit/synthetic opioids and reductions of medical opioid dispensing - exploratory analyses from Canada

BackgroundNorth America has been experiencing a persistent epidemic of opioid-related overdose mortality, which has increasingly been driven by fatalities from illicit, toxic opioids in most recent years. Patterns of synthetic opioid availability and related mortality are heterogeneous across Canada, and differing explanations exist as to their differentiated proliferation. We examined the perspective that heterogeneous province-based variations in prescription opioid availability, facilitated by various control strategies, post-2010 may have created regionally differential supply gaps for non-medical opioid use substituted by synthetic opioid products with differential impacts on mortality risks and outcomes in Canada.MethodsWe examined annual, prescription opioid dispensing rates and changes in the ten Canadian provinces (for the periods of 1) 2011–2018, 2) ‘peak-year’-to-2018) in Defined Daily Doses/1000 population/day, derived from data from a large representative, stratified sample of community pharmacies projected to a Canada total. Annual, provincial opioid-related mortality rates and changes for years 2016–2018 were calculated from federal data. We computed correlation values (Pearson’s R) between respective province-based change rates for prescription opioid dispensing and opioid-related mortality for the two over-time scenarios.ResultsAll but one province featured reductions in prescription opioid dispensing 2011–2018; seven of the ten provinces had increases in opioid mortality 2016–2018. The correlation between changes in opioid dispensing (2011–2018) and in opioid-mortality (2016–2018) was r = 0.63 (df = 8, p-value: 0.05); the correlation was r = 0.57 (df = 8, p-value: 0.09) for changes in opioid dispensing ‘peak year’-to-2018, respectively.ConclusionsQuasi-significant results indicate that recent increases in opioid-related deaths driven by illicit, synthetic opioids tended to be larger in provinces where reductions in prescription opioid availability have been more extensive. It is a plausible explanation that these reductions created supply gaps for non-medical opioid use increasingly filled by illicit, synthetic opioids differentially contributing to opioid-related deaths, generating un-intended adverse effects for previous interventions. General prevention measures to reduce opioid availability, and targeted prevention for at-risk opioid users exposed to toxic drug supply may be include counteractive effects and require coordinated reconciliation.

Receipt of Substance Use Counseling Among Ambulatory Patients Prescribed Opioids in the United States.

Background:As opioid-related overdose deaths climb in the U.S., risk reduction measures are increasingly important. One such measure recommended involves provision of proactive substance use counseling regarding the risks of opioid analgesics. This is particularly important in patients at increased risk of overdose, such as those with substance use disorders (SUD) or those receiving concomitant medications that further increase the overdose risk (eg, benzodiazepines, gabapentinoids, or Z-hypnotics). However, previous research regarding the likelihood that such counseling is provided during outpatient prescriber visits is lacking.Objectives:To determine the percentage of U.S. ambulatory care visits in which patients taking prescription opioids received substance use counseling, and whether counseling was more common in patients with concomitant GABAergic medication(s) (benzodiazepine, gabapentinoid or Z-hypnotic) or substance use disorder (SUD) diagnosis.Methods:A cross-sectional analysis was conducted of all patients aged ⩾18 years identified as having a prescription opioid on their medication list within the 2014-2015 National Ambulatory Medical Care Survey data.Results:Among 162.7 million visits in which patients were taking opioid medication(s), substance use counseling was provided in 2.4%. During visits for patients receiving opioid(s) plus GABAergic(s), substance use counseling was marginally more common (3.1% versus 2.0%, P < .0001). Substance use counseling was also more common among visits for patients taking opioid(s) with SUD (18.9% versus 1.5%, P < .0001). Among visits in which a patient was diagnosed with SUD and taking opioid(s) plus GABAergic(s), counseling was more common (23.1% versus 1.4%, P < .0001) compared to patients taking opioid(s) plus GABAergic(s) without SUD.Conclusions:Among national ambulatory care visits in the United States, substance use counseling is provided infrequently for patients taking opioids, even when significant risk factors are present. Increasing patient education may help reduce opioid-related overdose mortality.

Applying principles of injury and infectious disease control to the opioid mortality epidemic in North America: critical intervention gaps.

North America has been experiencing an acute and unprecedented public health crisis involving excessive and increasing levels of opioid-related overdose mortality. In the present commentary, we examine current interventions (as existent mainly in Canada) to date and compare them against established intervention frameworks and practices in other areas of public health, specifically injury and infectious disease control. We observe that current interventions focusing on opioid drug safety or exposure-specifically those that focus on distinctly potent and toxic opioid products driving major increases in overdose mortality-may be considered the equivalent of 'agent-' or 'vector'-based interventions. Such interventions have been largely neglected in favor of 'host' (e.g., drug user-oriented) or 'environmental' measures among strategies to reduce opioid-related overdose, likely contributing to the limited efficacy of current measures. We explore potential reasons, implications and remedies for these gaps in the overall public health strategy employed towards improved interventions to reduce opioid-related health harms.

Menopausal Symptoms and Higher Risk Opioid Prescribing in a National Sample of Women Veterans with Chronic Pain.

The greatest increases in long-term opioid use and opioid-related overdose mortality in recent years have been among women in midlife. Common menopausal symptoms broadly affect health and health care utilization in midlife, but their contribution to chronic pain management during this period is unknown. To examine relationships between menopausal symptoms and long-term opioid prescription patterns among midlife women with chronic pain. Cross-sectional analysis of national Veterans Health Administration medical and pharmacy records (2014-2015). Women Veterans aged 45-64 with ≥ 1 outpatient visit and chronic pain diagnoses spanning ≥ 90days. Long-term opioids (prescribed oral opioids for ≥ 90days), high-dose long-term opioids (> 50mg average morphine equivalent daily dose), and long-term opioids co-prescribed with central nervous system depressants (benzodiazepine and non-benzodiazepine sedative-hypnotics, gabapentin/pregabalin, muscle relaxants). Multivariable logistic regression models were used to examine associations between outcomes and menopausal symptoms (menopausal symptom-related diagnoses (i.e., "symptomatic menopausal states") on ≥ 2 encounters and/or menopausal hormone therapy, adjusting for race, age, body mass index, and mental health and substance use disorder diagnoses. In this national sample of 104,984 midlife women Veterans with chronic pain (mean age 54.5, SD 5.4years), 17% had evidence of menopausal symptoms, 51% were prescribed long-term opioids, 13% were prescribed high-dose long-term opioids, and 35% were co-prescribed long-term opioids and central nervous system depressants. In multivariable analyses, women with menopausal symptoms had increased odds of long-term opioids (OR 1.21, 95% CI 1.18-1.26), high-dose long-term opioids (OR 1.08, 95% CI 1.02-1.13), and long-term opioids co-prescribed with central nervous system depressants (sedative-hypnotics OR 1.25, 95% CI 1.22-1.30; gabapentin/pregabalin OR 1.23, 95% CI 1.20-1.27; muscle relaxants OR 1.24, 95% CI 1.20-1.28). Among midlife women Veterans with chronic pain, evidence of menopausal symptoms was associated with potentially risky long-term opioid prescription patterns, independent of known risk factors.

Responding to the opioid and overdose crisis with innovative services: The recovery community center office-based opioid treatment (RCC-OBOT) model

Opioid use disorder (OUD) and opioid-related overdose mortality are major public health concerns in the United States. Recently, several community-based and professional innovations - including hybrid recovery community organizations, peer-based emergency department warm handoff programs, emergency department buprenorphine induction, and low-threshold OUD treatment programs - have emerged or expanded in an effort to address significant obstacles to providing patients the care needed for OUD and to reduce the risk of overdose. Additional innovations are needed to address the crisis. Building upon the foundational frameworks of each of these recent innovations, a new model of OUD pharmacotherapy is proposed and discussed: the Recovery Community Center Office-Based Opioid Treatment model. Additionally, two potential implementation scenarios, the overdose and non-overdose event protocols, are detailed for communities, peers, and practitioners interested in implementing the model. Potential barriers to implementation of the model include service reimbursement, licensing regulations, and organizational concerns. Future research should seek to validate the model and to identify actual implementation and sustainability barriers and best practices.

The ‘fentanyl epidemic’ in Canada – Some cautionary observations focusing on opioid-related mortality

In Canada, opioid-related overdose mortality has steeply increased in recent years; as a substantial number of opioid-related deaths are related to fentanyl products, this phenomenon has widely been described as the ‘fentanyl epidemic’, also implying that these deaths are largely caused by clandestinely produced illicit fentanyl products. We examined numbers and rates of opioid- and fentanyl-related deaths in six pan-Canadian provinces with respective (coroner-based) data available from 2010 to 2016. While fentanyl-related deaths are clearly increasing from relatively low levels in all provinces, those increases are strongest in the two Western provinces (e.g., British Columbia, where fentanyl accounts for the majority of opioid deaths in 2016 and Alberta), and, to some extent, Ontario. However, fentanyl-related deaths remain a minority of deaths in Ontario (40%) and the remaining provinces (<25%). Furthermore, it is uncertain what proportion of fentanyl-related deaths is actually related to illicit fentanyl products. We conclude that fentanyl-related overdose deaths have risen – most strongly in the West – due to both a high availability of medical fentanyl products, as well as an influx of illegal fentanyl products. In most provinces, the majority of opioid deaths remain associated with other (non-fentanyl) products. Appropriate (prevention, treatment and policy) interventions need to be targeted at the full range of opioid deaths from different sources. Overall, a realistic framing of the social (e.g., media) discourse about the nature of the ‘opioid overdose death crisis’ is required, which is not exclusively an ‘illicit fentanyl death crisis’ even though this may be a socio-politically appealing image.