Estimating the prevalence of illicit opioid use in New York City using multiple data sources

Attributes of higher- and lower-performing hospitals in the Consult for Addiction Treatment and Care in Hospitals (CATCH) program implementation: A multiple-case study

INTRODUCTION

Six hospitals within the New York City public hospital system implemented the Consult for Addiction Treatment and Care in Hospitals (CATCH) program, an interprofessional addiction consult service. A stepped-wedge cluster randomized controlled trial tested the effectiveness of CATCH for increasing initiation and engagement in post-discharge medication for opioid use disorder (MOUD) treatment among hospital patients with opioid use disorder (OUD). The objective of this study was to identify facility characteristics that were associated with stronger performance of CATCH.

METHODS

This study used a mixed methods multiple-case study design. The six hospitals in the CATCH evaluation were each assigned a case rating according to intervention reach. Reach was considered high if ≥50 % of hospitalized OUD patients received an MOUD order. Cross-case rating comparison identified attributes of high-performing hospitals and inductive and deductive approaches were used to identify themes.

RESULTS

Higher-performing hospitals exhibited attributes that were generally absent in lower-performing hospitals, including (1) complete medical provider staffing; (2) designated office space and resources for CATCH; (3) existing integrated OUD treatment resources; and (4) limited overlap between the implementation period and COVID-19 pandemic.

CONCLUSIONS

Hospitals with attributes indicative of awareness and integration of OUD services into general care were generally higher performing than hospitals that had siloed OUD treatment programs. Future implementations of addiction consult services may benefit from an increased focus on hospital- and community-level buy-in and efforts to integrate MOUD treatment into general care.

Estimation of the prevalence of opioid misuse in New York State counties, 2007-2018: a bayesian spatiotemporal abundance model approach

An important challenge to addressing the opioid overdose crisis is the lack of information on the size of the population of people who misuse opioids (PWMO) in local areas. This estimate is needed for better resource allocation, estimation of treatment and overdose outcome rates using appropriate denominators (ie, the population at risk), and proper evaluation of intervention effects. In this study, we used a bayesian hierarchical spatiotemporal integrated abundance model that integrates multiple types of county-level surveillance outcome data, state-level information on opioid misuse, and covariates to estimate the latent (hidden) numbers of PWMO and latent prevalence of opioid misuse across New York State counties (2007-2018). The model assumes that each opioid-related outcome reflects a partial count of the number of PWMO, and it leverages these multiple sources of data to circumvent limitations of parameter estimation associated with other types of abundance models. Model estimates showed a reduction in the prevalence of PWMO during the study period, with important spatial and temporal variability. The model also provided county-level estimates of rates of treatment and opioid overdose using the numbers of PWMO as denominators. This modeling approach can identify the sizes of hidden populations to guide public health efforts in confronting the opioid overdose crisis across local areas. This article is part of a Special Collection on Mental Health.

Evaluation of a Pilot Program to Prevent the Misuse of Prescribed Opioids Among Health Care Workers: Repeated Measures Survey Study

BACKGROUND

Overprescription of opioids has led to increased misuse of opioids, resulting in higher rates of overdose. The workplace can play a vital role in an individual's intentions to misuse prescription opioids with injured workers being prescribed opioids, at a rate 3 times the national average. For example, health care workers are at risk for injuries, opioid dispensing, and diversion. Intervening within a context that may contribute to risks for opioid misuse while targeting individual psychosocial factors may be a useful complement to interventions at policy and prescribing levels.

OBJECTIVE

This pilot study assessed the effects of a mobile-friendly opioid misuse intervention prototype tailored for health care workers using the preparation phase of a multiphase optimization strategy design.

METHODS

A total of 33 health care practitioners participated in the pilot intervention, which included 10 brief web-based lessons aimed at impacting psychosocial measures that underlie opioid misuse. The lesson topics included: addiction beliefs, addiction control, Centers for Disease Control and Prevention guidelines and recommendations, beliefs about patient-provider relationships and communication, control in communicating with providers, beliefs about self-monitoring pain and side effects, control in self-monitoring pain and side effects, diversion and disposal beliefs, diversion and disposal control, and a conclusion lesson. Using a treatment-only design, pretest and posttest surveys were collected. A general linear repeated measures ANOVA was used to assess mean differences from pretest to posttest. Descriptive statistics were used to assess participant feedback about the intervention.

RESULTS

After completing the intervention, participants showed significant mean changes with increases in knowledge of opioids (+0.459; P<.001), less favorable attitudes toward opioids (-1.081; P=.001), more positive beliefs about communication with providers (+0.205; P=.01), more positive beliefs about pain management control (+0.969; P<.001), and increased intentions to avoid opioid use (+0.212; P=.03). Of the 33 practitioners who completed the program, most felt positive about the information presented, and almost 70% (23/33) agreed or strongly agreed that other workers in the industry should complete a program like this.

CONCLUSIONS

While attempts to address the opioid crisis have been made through public health policies and prescribing initiatives, opioid misuse continues to rise. Certain industries place workers at greater risk for injury and opioid dispensing, making interventions that target workers in these industries of particular importance. Results from this pilot study show positive impacts on knowledge, attitudes, and beliefs about communicating with providers and pain management control, as well as intentions to avoid opioid misuse. However, the dropout rate and small sample size are severe limitations, and the results lack generalizability. Results will be used to inform program revisions and future optimization trials, with the intention of providing insight for future intervention development and evaluation of mobile-friendly eHealth interventions for employees.

Exemplar Hospital initiation trial to Enhance Treatment Engagement (EXHIT ENTRE): protocol for CTN-0098B a randomized implementation study to support hospitals in caring for patients with opioid use disorder

BACKGROUND

Hospitalizations involving opioid use disorder (OUD) are increasing. Medications for opioid use disorder (MOUD) reduce mortality and acute care utilization. Hospitalization is a reachable moment for initiating MOUD and arranging for ongoing MOUD engagement following hospital discharge. Despite existing quality metrics for MOUD initiation and engagement, few hospitals provide hospital based opioid treatment (HBOT). This protocol describes a cluster-randomized hybrid type-2 implementation study comparing low-intensity and high-intensity implementation support strategies to help community hospitals implement HBOT.

METHODS

Four state implementation hubs with expertise in initiating HBOT programs will provide implementation support to 24 community hospitals (6 hospitals/hub) interested in starting HBOT. Community hospitals will be randomized to 24-months of either a low-intensity intervention (distribution of an HBOT best-practice manual, a lecture series based on the manual, referral to publicly available resources, and on-demand technical assistance) or a high-intensity intervention (the low-intensity intervention plus funding for a hospital HBOT champion and regular practice facilitation sessions with an expert hub). The primary efficacy outcome, adapted from the National Committee on Quality Assurance, is the proportion of patients engaged in MOUD 34-days following hospital discharge. Secondary and exploratory outcomes include acute care utilization, non-fatal overdose, death, MOUD engagement at various time points, hospital length of stay, and discharges against medical advice. Primary, secondary, and exploratory outcomes will be derived from state Medicaid data. Implementation outcomes, barriers, and facilitators are assessed via longitudinal surveys, qualitative interviews, practice facilitation contact logs, and HBOT sustainability metrics. We hypothesize that the proportion of patients receiving care at hospitals randomized to the high-intensity arm will have greater MOUD engagement following hospital discharge.

DISCUSSION

Initiation of MOUD during hospitalization improves MOUD engagement post hospitalization. Few studies, however, have tested different implementation strategies on HBOT uptake, outcome, and sustainability and only one to date has tested implementation of a specific type of HBOT (addiction consultation services). This cluster-randomized study comparing different intensities of HBOT implementation support will inform hospitals and policymakers in identifying effective strategies for promoting HBOT dissemination and adoption in community hospitals.

TRIAL REGISTRATION

NCT04921787.

Evaluating an addiction medicine unit in Sudbury, Ontario Canada: a mixed-methods study protocol

BACKGROUND

In response to the escalating global prevalence of substance use and the specific challenges faced in Northern Ontario, Canada, an Addiction Medicine Unit (AMU) was established at Health Sciences North (HSN) in Sudbury. This protocol outlines the approach for a comprehensive evaluation of the AMU, with the aim of assessing its impact on patient outcomes, healthcare utilization, and staff perspectives.

METHODS

We conducted a parallel mixed-method study that encompassed the analysis of single-center-level administrative health data and primary data collection, including a longitudinal observational study (target n = 1,200), pre- and post-admission quantitative interviews (target n = 100), and qualitative interviews (target n = 25 patients and n = 15 staff). We implemented a participatory approach to this evaluation, collaborating with individuals who possess lived or living expertise in drug use, frontline staff, and decision-makers across the hospital. Data analysis methods encompass a range of statistical techniques, including logistic regression models, Cox proportional hazards models, Kaplan-Meier curves, Generalized Estimating Equations (GEE), and thematic qualitative analysis, ensuring a robust evaluation of patient outcomes and healthcare utilization.

DISCUSSION

This protocol serves as the foundation for a comprehensive assessment designed to provide insights into the AMU's effectiveness in addressing substance use-related challenges, reducing healthcare disparities, and improving patient outcomes. All study procedures have been meticulously designed to align with the ethical principles outlined in the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans. The findings will be disseminated progressively through committees and working groups established for this research, and subsequently published in peer-reviewed journals. Anticipated outcomes include informing evidence-based healthcare decision-making and driving improvements in addiction treatment practices within healthcare settings.

Building an inpatient addiction medicine consult service in Sudbury, Canada: preliminary data and lessons learned in the era of COVID-19

OBJECTIVE

The goal of this study was to (1) Describe the patient population of a newly implemented addiction medicine consult service (AMCS); (2) Evaluate referrals to community-based addiction support services and acute health service use, over time; (3) Provide lessons learned.

METHODS

A retrospective observational analysis was conducted at Health Sciences North in Sudbury, Ontario, Canada, with a newly implemented AMCS from November 2018 and July 2021. Data were collected using the hospital's electronic medical records. The outcomes measured included the number of emergency department visits, inpatient admissions, and re-visits over time. An interrupted time-series analysis was performed to measure the effect of AMCS implementation on acute health service use at Health Sciences North.

RESULTS

A total of 833 unique patients were assessed through the AMCS. A total of 1,294 referrals were made to community-based addiction support services, with the highest proportion of referrals between August and October 2020. The post-intervention trend for ED visits, ED re-visits, ED length of stay, inpatient visits, re-visits, and inpatient length of stay did not significantly differ from the pre-intervention period.

CONCLUSION

Implementation of an AMCS provides a focused service for patients using with substance use disorders. The service resulted in a high referral rate to community-based addiction support services and limited changes in health service usage.

Estimating the Prevalence of Substance Use Disorders in the US Using the Benchmark Multiplier Method

Importance

Prevalence estimates of substance use disorders in the US rely on general population surveys. However, major population groups, such as homeless individuals and institutionalized individuals, are not captured by these surveys, and participants may underreport substance use.

Objective

To estimate the prevalence of substance use disorders in the US.

Design, Setting, and Participants

The benchmark multiplier method was used to estimate the prevalence of alcohol, cannabis, opioid, and stimulant use disorders based on data from the Transformed Medicaid Statistical Information System (T-MSIS) (the benchmark) and the National Survey on Drug Use and Health (NSDUH) (the multiplier) for 2018 and 2019. T-MSIS collects administrative data on Medicaid beneficiaries 12 years and older with full or comprehensive benefits. NSDUH is a nationally representative annual cross-sectional survey of people 12 years and older. Data were analyzed from February to June 2022.

Main Outcomes and Measures

Prevalence of substance use disorders was estimated using the benchmark multiplier method based on T-MSIS and NSDUH data. Confidence intervals for the multiplier method estimates were computed using Monte Carlo simulations. Sensitivity of prevalence estimates to variations in multiplier values was assessed.

Results

This study included Medicaid beneficiaries 12 years and older accessing treatment services in the past year with diagnoses of alcohol (n = 1 017 308 in 2018; n = 1 041 357 in 2019), cannabis (n = 643 737; n = 644 780), opioid (n = 1 406 455; n = 1 575 219), and stimulant (n = 610 858; n = 657 305) use disorders and NSDUH participants with 12-month DSM-IV alcohol (n = 3390 in 2018; n = 3363 in 2019), cannabis (n = 1426; n = 1604), opioid (n = 448; n = 369), and stimulant (n = 545; n = 559) use disorders. The benchmark multiplier prevalence estimates were higher than NSDUH estimates for every type of substance use disorder in both years and in the combined 2018 to 2019 sample: 20.27% (95% CI, 17.04-24.71) vs 5.34% (95% CI, 5.10-5.58), respectively, for alcohol; 7.57% (95% CI, 5.96-9.93) vs 1.68% (95% CI, 1.59-1.79) for cannabis; 3.46% (95% CI, 2.97-4.12) vs 0.68% (0.60-0.78) for opioid; and 1.91% (95% CI, 1.63-2.30) vs 0.85% (95% CI, 0.75-0.96) for stimulant use disorders. In sensitivity analyses, the differences between the benchmark multiplier method and NSDUH estimates persisted over a wide range of potential multiplier values.

Conclusions and Relevance

The findings in this study reflect a higher national prevalence of substance use disorders than that represented by NSDUH estimates, suggesting a greater burden of these conditions in the US.

What is the prevalence of and trend in opioid use disorder in the United States from 2010 to 2019? Using multiplier approaches to estimate prevalence for an unknown population size

Opioid-related overdose deaths have increased since 2010 in the U.S., but information on trends in opioid use disorder (OUD) prevalence is limited due to unreliable data. Multiplier methods are a classical epidemiological technique to estimate prevalence when direct estimation is infeasible or unreliable. We used two different multiplier approaches to estimate OUD prevalence from 2010 to 2019. First, we estimated OUD in National Survey on Drug Use and Health (NSDUH), and based on existing capture-recapture studies, multiplied prevalence by 4.5x. Second, we estimated the probability of drug poisoning death among people with OUD (Meta-analysis indicates 0.52/100,000), and divided the number of drug poisoning deaths in the US by this probability. Estimates were weighted to account for increase in drug-related mortality in recent years due to fentanyl. Estimated OUD prevalence was lowest when estimated in NSDUH with no multiplier, and highest when estimated from vital statistics data without adjustment. Consistent findings emerged with two methods: NSDUH data with multiplier correction, and vital statistics data with multiplier and adjustment. From these two methods, OUD prevalence increased from 2010 to 2014; then stabilized and slightly declined annually (survey data with multiplier, highest prevalence of 4.0% in 2015; death data with a multiplier and correction, highest prevalence of 2.35% in 2016). The number of US adolescent and adult individuals with OUD in 2019 was estimated between 6.7-7.6 million. When multipliers and corrections are used, OUD may have stabilized or slightly declined after 2015. Nevertheless, it remains highly prevalent, affecting 6-7 million US adolescents and adults.

Opioid Use Disorder and Racial/Ethnic Health Disparities: Prevention and Management

PURPOSE OF REVIEW

This review aims to summarize risks and disparities associated with the prevalence and treatment of opioid use disorder in the perioperative and long-term setting, as well as evidence-based treatment and prevention targeted toward specific vulnerable populations.

RECENT FINDING

There are significant demographic disparities in pain management and development and management of OUD in the chronic and surgical setting. While White patients traditionally receive more pain management, they are also at higher risk of developing OUD. Hispanic and Latin populations have the largest proportion of youth with OUD and often lack culturally appropriate translation services that allow for effective treatment. Native Americans have the second highest rate of OUD and often receive care in communities and healthcare settings that lack funding and resources to combat OUD. African Americans tend to suffer from the criminalization of OUD and are less able to seek treatment due to this, and furthermore, often lack community services that would benefit them. Additional vulnerable populations include homeless individuals that lack access to healthcare or health insurance. In addition, incarcerated individuals often lack access to naloxone and suffer from high rates of fatal overdose soon after being released to the community. People in rural settings lack needle-exchange programs and community-based interventions/support groups. Patients in the perioperative setting lack standard screening and pain management protocols. Interventions targeted toward each appropriate group can help decrease the rate of OUD and improve its treatment, and overarching interventions such as protocols, targeted funding, education and regulation can combat OUD for all populations.

Interventions for hospitalized medical and surgical patients with opioid use disorder: A systematic review

Background: Concurrent with the opioid overdose crisis there has been an increase in hospitalizations among people with opioid use disorder (OUD), with one in ten hospitalized medical or surgical patients having comorbid opioid-related diagnoses. We sought to conduct a systematic review of hospital-based interventions, their staffing composition, and their impact on outcomes for patients with OUD hospitalized for medical or surgical conditions. Methods: Authors searched PubMed MEDLINE, PsychINFO, and CINAHL from January 2015 through October 2020. The authors screened 463 titles and abstracts for inclusion and reviewed 96 full-text studies. Seventeen articles met inclusion criteria. Extracted were study characteristics, outcomes, and intervention components. Methodological quality was evaluated using the Methodological Quality Rating Scale. Results: Ten of the 17 included studies were controlled retrospective cohort studies, five were uncontrolled retrospective studies, one was a prospective quasi-experimental evaluation, and one was a secondary analysis of a completed randomized clinical trial. Intervention components and outcomes varied across studies. Outcomes included in-hospital initiation and post-discharge connection to medication for OUD, healthcare utilization, and discharge against medical advice. Results were mixed regarding the impact of existing interventions on outcomes. Most studies focused on linkage to medication for OUD during hospitalization and connection to post-discharge OUD care. Conclusions: Given that many individuals with OUD require hospitalization, there is a need for OUD-related interventions for this patient population. Interventions with the best evidence of efficacy facilitated connection to post-discharge OUD care and employed an Addiction Medicine Consult model.

Heroin use cannot be measured adequately with a general population survey

BACKGROUND

Globally, heroin and other opioids account for more than half of deaths and years-of-life-lost due to drug use and comprise one of the four major markets for illegal drugs. Having sound estimates of the number of problematic heroin users is fundamental to formulating sound health and criminal justice policies. Researchers and policymakers rely heavily upon general population surveys (GPS), such as the US National Survey on Drug Use and Health (NSDUH), to estimate heroin use, without confronting their limitations. GPS-based estimates are also ubiquitous for cocaine and methamphetamine, so insights pertaining to GPS for estimating heroin use are also relevant for those drug markets.

ANALYSIS

Four sources of potential errors in NSDUH are assessed: selective non-response, small sample size, sampling frame omissions and under-reporting. An alternative estimate drawing on a variety of sources including a survey of adult male arrestees is presented and explained. Other approaches to prevalence estimation are discussed.

FINDINGS

Under-reporting and selective non-response in NSDUH are likely to lead to substantial underestimation. Small sample size leads to imprecise estimates and erratic year-to-year fluctuations. The alternative estimate provides credible evidence that NSDUH underestimates the number of frequent heroin users by at least three-quarters and perhaps much more.

IMPLICATIONS

GPS, even those as strong as NSDUH, are doomed by their nature to estimate poorly a rare and stigmatized behavior concentrated in a hard-to-track population. Although many European nations avoid reliance upon these surveys, many others follow the US model. Better estimation requires models that draw upon a variety of data sources, including GPS, to provide credible estimates. Recent methodological developments in selected countries can provide guidance. Journals should require researchers to critically assess the soundness of GPS estimates for any stigmatized drug-related behaviors with low prevalence rates.

External validation of an opioid misuse machine learning classifier in hospitalized adult patients

BACKGROUND

Opioid misuse screening in hospitals is resource-intensive and rarely done. Many hospitalized patients are never offered opioid treatment. An automated approach leveraging routinely captured electronic health record (EHR) data may be easier for hospitals to institute. We previously derived and internally validated an opioid classifier in a separate hospital setting. The aim is to externally validate our previously published and open-source machine-learning classifier at a different hospital for identifying cases of opioid misuse.

METHODS

An observational cohort of 56,227 adult hospitalizations was examined between October 2017 and December 2019 during a hospital-wide substance use screening program with manual screening. Manually completed Drug Abuse Screening Test served as the reference standard to validate a convolutional neural network (CNN) classifier with coded word embedding features from the clinical notes of the EHR. The opioid classifier utilized all notes in the EHR and sensitivity analysis was also performed on the first 24 h of notes. Calibration was performed to account for the lower prevalence than in the original cohort.

RESULTS

Manual screening for substance misuse was completed in 67.8% (n = 56,227) with 1.1% (n = 628) identified with opioid misuse. The data for external validation included 2,482,900 notes with 67,969 unique clinical concept features. The opioid classifier had an AUC of 0.99 (95% CI 0.99-0.99) across the encounter and 0.98 (95% CI 0.98-0.99) using only the first 24 h of notes. In the calibrated classifier, the sensitivity and positive predictive value were 0.81 (95% CI 0.77-0.84) and 0.72 (95% CI 0.68-0.75). For the first 24 h, they were 0.75 (95% CI 0.71-0.78) and 0.61 (95% CI 0.57-0.64).

CONCLUSIONS

Our opioid misuse classifier had good discrimination during external validation. Our model may provide a comprehensive and automated approach to opioid misuse identification that augments current workflows and overcomes manual screening barriers.

Opioid-related emergencies in New York City after the Great Recession

BACKGROUND

The rise in opioid-related mortality and opioid-related emergency department (ED) visits has stimulated research on whether broader economic declines, such as the Great Recession, affect opioid-related morbidity. We examine in New York City whether one measure of morbidity-opioid-related ED visits-responded acutely to the large negative "shock" of the Great Recession.

METHODS

Data comprise outpatient "treat and release" opioid-related ED visits in New York City for the 72 months spanning January 2006 to December 2011, taken from the Statewide Emergency Department Database (n = 150,246). We modeled the monthly incidence of opioid-related ED visits using Autoregressive, Integrated, Moving Average (ARIMA) time-series methods to control for patterning in ED visits before examining its potential association with the economic shock of the Great Recession.

RESULTS

New York City shows a mean of 1761 outpatient ED visits per month for opioid dependence and abuse. Unexpectedly large drops in employment coincide with fewer than expected opioid dependence and abuse ED visits in that same month. The result (coefficient = 0.046, 95% Confidence Interval [CI]: 0.002, 0.090) represents a 0.8% drop in overall incidence of opioid dependence and abuse ED visits during the Great Recession. We, however, observe no association between the Great Recession and ED visits for prescription opioid overdose or heroin overdose, or with inpatient ED visits for opioid dependence and abuse.

CONCLUSIONS

Findings, if replicated, indicate distinct short-term reductions in opioid-related morbidity following the Great Recession. This result diverges from previous findings of increased opioid use following extended economic downturns.

Using Urine Drug Testing to Estimate the Prevalence of Drug Use : Lessons Learned From the New York City Health and Nutrition Examination Survey, 2013-2014

OBJECTIVES

Estimating the prevalence of drug use in the general population is important given its potential health consequences but is challenging. Self-reported surveys on drug use have inherent limitations that underestimate drug use. We evaluated the performance of linking urine drug testing with a local, representative health examination survey in estimating the prevalence of drug use in New York City (NYC).

METHODS

We used urine drug testing from the NYC Health and Nutrition Examination Survey (NYC HANES) to estimate the prevalence of drug use (benzodiazepines, cocaine, heroin, and opioid analgesics) among the study sample and compare the findings with self-reported responses to questions about past-12-month drug use from the same survey.

RESULTS

Of 1527 respondents to NYC HANES, urine drug testing was performed on 1297 (84.9%) participants who provided urine and consented to future studies. Self-reported responses gave past-12-month weighted estimates for heroin, cocaine, or any prescription drug misuse of 13.8% (95% CI, 11.6%-16.3%), for prescription drug misuse of 9.9% (95% CI, 8.1%-12.1%), and for heroin or cocaine use of 6.1% (95% CI, 4.7%-7.9%). Urine drug testing gave past-12-month weighted estimates for any drug use of 4.3% (95% CI, 3.0%-6.0%), for use of any prescription drug of 2.8% (95% CI, 1.9%-4.1%), and for heroin or cocaine use of 2.0% (95% CI, 1.2%-3.6%).

CONCLUSION

Urine drug testing provided underestimates for the prevalence of drug use at a population level compared with self-report. Researchers should use other methods to estimate the prevalence of drug use on a population level.

Diagnosis and Management of Opioid Use Disorder in Hospitalized Patients

The diagnosis of opioid use disorder (OUD) is often overlooked or inadequately managed during the inpatient admission. When recognized, a common strategy is opioid detoxification, an approach that is often ineffective and can be potentially dangerous because of loss of tolerance and subsequent risk for overdose. Medication for addiction treatment (MAT), including methadone and buprenorphine, is effective and can be dispensed in the hospital for both opioid withdrawal and initiation of maintenance treatment. Hospitalists should be knowledgeable about diagnosing and managing patients with OUD, including how to manage acute pain or MAT during the perioperative setting.

Study protocol for a pragmatic trial of the Consult for Addiction Treatment and Care in Hospitals (CATCH) model for engaging patients in opioid use disorder treatment

BACKGROUND

Treatment for opioid use disorder (OUD) is highly effective, yet it remains dramatically underutilized. Individuals with OUD have disproportionately high rates of hospitalization and low rates of addiction treatment. Hospital-based addiction consult services offer a potential solution by using multidisciplinary teams to evaluate patients, initiate medication for addiction treatment (MAT) in the hospital, and connect patients to post-discharge care. We are studying the effectiveness of an addiction consult model [Consult for Addiction Treatment and Care in Hospitals (CATCH)] as a strategy for engaging patients with OUD in treatment as the program rolls out in the largest municipal hospital system in the US. The primary aim is to evaluate the effectiveness of CATCH in increasing post-discharge initiation and engagement in MAT. Secondary aims are to assess treatment retention, frequency of acute care utilization and overdose deaths and their associated costs, and implementation outcomes.

METHODS

A pragmatic trial at six hospitals, conducted in collaboration with the municipal hospital system and department of health, will be implemented to study the CATCH intervention. Guided by the RE-AIM evaluation framework, this hybrid effectiveness-implementation study (Type 1) focuses primarily on effectiveness and also measures implementation outcomes to inform the intervention's adoption and sustainability. A stepped-wedge cluster randomized trial design will determine the impact of CATCH on treatment outcomes in comparison to usual care for a control period, followed by a 12-month intervention period and a 6- to 18-month maintenance period at each hospital. A mixed methods approach will primarily utilize administrative data to measure outcomes, while interviews and focus groups with staff and patients will provide additional information on implementation fidelity and barriers to delivering MAT to patients with OUD.

DISCUSSION

Because of their great potential to reduce the negative health and economic consequences of untreated OUD, addiction consult models are proliferating in response to the opioid epidemic, despite the absence of a strong evidence base. This study will provide the first known rigorous evaluation of an addiction consult model in a large multi-site trial and promises to generate knowledge that can rapidly transform practice and inform the potential for widespread dissemination of these services.

TRIAL REGISTRATION

NCT03611335.

Estimating the Prevalence of Opioid use Disorder in the Cincinnati Region using Probabilistic Multiplier Methods and Model Averaging

BACKGROUND

Opioid use disorder (OUD) and its consequences have strained the resources of health, social, and criminal justice services in the Cincinnati region. However, understanding of the potential number of people suffering from OUD is limited. Little robust and reliable information quantifies the prevalence and there is often great variation between individual estimates of prevalence. In other fields such as meteorology, finance, sports, and politics, model averaging is commonly employed to improve estimates and forecasts. The objective of this study was to apply a model averaging approach to estimate the number of individuals with OUD in the Cincinnati region.

METHODS

Three individual probabilistic simulation models were developed to estimate the number of OUD individuals in the Cincinnati Core Based Statistical Area (CBSA). The models used counts of overdose deaths, non-fatal overdoses, and treatment admissions as benchmark data. A systematic literature review was performed to obtain the multiplier data for each model. The three models were averaged to generate single estimate and confidence band of the prevalence of OUD.

RESULTS

This study estimated 15 067 (SE 1556) individuals with OUD in the Cincinnati CBSA (2 165 139 total population). Based on these results, we estimate the prevalence of OUD to be between 13 507 (0.62% of population) and 16 620 (0.77% of population).

CONCLUSIONS

The method proposed herein has been shown in diverse fields to mitigate some of the uncertainty associated with reliance on a single model. Further, the simplicity of the method described is easily replicable by community health centers, first-responders, and social services to estimate capacity needs supported by OUD estimates for the region they serve.

Addiction consultation services - Linking hospitalized patients to outpatient addiction treatment

BACKGROUND

Approximately 15% of hospitalized patients have an active substance use disorder (SUD). Starting treatment for SUD, including medications, during acute hospitalizations can engage patients in addiction care. In July 2015, the Boston Medical Center Addiction Consult Service (ACS), began providing inpatient diagnostic, management, and discharge linkage consultations. We describe this implementation.

METHODS

The ACS staff recorded SUDs diagnoses and medication recommendations and tracked follow-up data for affiliated outpatient office-based addiction clinics and methadone maintenance programs. We assessed the number of consults, SUDs diagnoses, medications recommended and initiated, and outpatient addiction clinic follow-up.

RESULTS

Over 26weeks, the BMC ACS completed 337 consults: 78% had an opioid use disorder (UD), 37% an alcohol UD, 28% a cocaine UD, 9% a benzodiazepine UD, 3% a cannabinoid (including K2) UD, and <1% a methamphetamine UD. Methadone was initiated in 70 inpatients and buprenorphine in 40 inpatients. Naltrexone was recommended 45 times (for opioid UD, alcohol UD, or both). Of the patients initiated on methadone, 76% linked to methadone clinic, with 54%, 39%, and 29% still retained at 30, 90, and 180days, respectively. For buprenorphine, 49% linked to clinic, with 39%, 27%, and 18% retained at 30, 90, and 180days, respectively. For naltrexone, 26% linked to clinic, all with alcohol UD alone.

CONCLUSIONS

A new inpatient addiction consultation service diagnosed and treated hospitalized patients with substance use disorders and linked them to outpatient addiction treatment care. Initiating addiction medications, particularly opioid agonists, was feasible in the inpatient setting. Optimal linkage and retention of hospitalized patients to post-discharge addiction care warrants further innovation and program development.

Merging Outpatient Addiction and Opioid-Maintenance Programs During A Disaster: Lessons From Hurricane Sandy

OBJECTIVE

After Hurricane Sandy flooded Bellevue Hospital in New York City, its opiate maintenance patients were displaced and Bellevue's outpatient program was temporarily merged with the program at Metropolitan Hospital for continuation of care. The merger forced Metropolitan to accommodate a program twice as large as its own and required special staff coordination and adjustments in clinical care.

METHODS

Physicians, clinicians, and administrators from both institutions participated in interviews regarding the merger.

RESULTS

Issues that emerged in the interviews fell into 4 major themes: (1) organization and meshing of professional cultures, (2) regulation, (3) communication, and (4) accommodations.

CONCLUSIONS

Despite these barriers, data collected after the merger showed high retention rates and low rates of positive urine toxicology results. (Disaster Med Public Health Preparedness. 2017;11:531-537).

Integrating Buprenorphine Into an Opioid Treatment Program: Tailoring Care for Patients With Opioid Use Disorders

OBJECTIVES

This report identifies the institutional barriers to, and benefits of, buprenorphine maintenance treatment (BMT) integration in an established hospital-based opioid treatment program (OTP).

METHODS

This case study presents the authors' experiences at the clinic, hospital, and corporation levels during efforts to integrate BMT into a hospital-based OTP in New York City and a descriptive quantitative analysis of the characteristics of hospital outpatients treated with buprenorphine from 2006 to 2013 (N=735).

RESULTS

Integration of BMT into an OTP offered patients the flexibility to transition between intensive structured care and primary care or outpatient psychiatry according to need. Main barriers encountered were regulations, clinical logistics of dispensing medications, internal cost and reimbursement issues, and professional and cultural resistance.

CONCLUSIONS

Buprenorphine integration offers a model for other OTPs to facilitate partnerships among primary care and mental health clinics to better serve diverse patients with varying clinical needs and with varying levels of social support.

Shifting blame: Buprenorphine prescribers, addiction treatment, and prescription monitoring in middle-class America

Growing nonmedical prescription opioid analgesic use among suburban and rural Whites has changed the public's perception of the nature of opioid addiction, and of appropriate interventions. Opioid addiction has been recast as a biological disorder in which patients are victims of their neurotransmitters and opioid prescribers are irresponsible purveyors of dangerous substances requiring controls. This framing has led to a different set of policy responses than the "War on Drugs" that has focused on heroin trade in poor urban communities; in response to prescription opioid addiction, prescription drug monitoring programs and tamper-resistant opioid formulations have arisen as primary interventions in place of law enforcement. Through the analysis of preliminary findings from interviews with physicians who are certified to manage opioid addiction with the opioid pharmaceutical buprenorphine, we argue that an increase in prescriber monitoring has shifted the focus from addicted people to prescribers as a threat, paradoxically driving users to illicit markets and constricting their access to pharmaceutical treatment for opioid addiction. Prescriber monitoring is also altering clinical cultures of care, as general physicians respond to heightened surveillance and the psychosocial complexities of treating addiction with either rejection of opioid dependent patients, or with resourceful attempts to create support systems for their treatment where none exists.

Buprenorphine and methadone treatment for opioid dependence by income, ethnicity and race of neighborhoods in New York City

BACKGROUND

Geographic and demographic variation in buprenorphine and methadone treatment use in U.S. cities has not been assessed. Identifying variance in opioid maintenance is essential to improving treatment access and equity.

PURPOSE

To examine the differential uptake of buprenorphine treatment in comparison to methadone treatment between 2004 and 2013 in neighborhoods in New York City characterized by income, race and ethnicity.

METHODS

Social area (SA) analysis of residential zip codes of methadone and buprenorphine patients in NYC, which aggregated zip codes into five social areas with similar percentages of residents below poverty, identifying as Black non-Hispanic and as Hispanic, to examine whether treatment rates differed significantly among social areas over time. For each rate, mixed model analyses of variance were run with fixed effects for social area, year and the interaction of social area by year.

RESULTS

Buprenorphine treatment increased in all social areas over time with a significantly higher rate of increase in the social area with the highest income and the lowest percentage of Black, Hispanic, and low-income residents. Methadone treatment decreased slightly in all social areas until 2011 and then increased bringing rates back to 2004 levels. Treatment patterns varied by social area.

CONCLUSIONS

Buprenorphine treatment rates are increasing in all social areas, with slower uptake in moderate income mixed ethnicity areas. Methadone rates have remained stable over time. Targeted investments to promote public sector buprenorphine prescription may be necessary to reduce disparities in buprenorphine treatment and to realize its potential as a public health measure.

Heart Rate Variability and the Efficacy of Biofeedback in Heroin Users with Depressive Symptoms

Objective

Low heart rate variability (HRV) has been confirmed in heroin users, but the effects of heart-rate-variability–biofeedback in heroin users remain unknown. This study examined (1) correlations between depression and HRV indices; (2) group differences in HRV indices among a heroin-user group, a group with major depressive disorder but no heroin use, and healthy controls; and (3) the effects of heart-rate-variability–biofeedback on depressive symptoms, HRV indices, and respiratory rates within the heroin group.

Methods

All participants completed a depression questionnaire and underwent electrocardiogram measurements, and group differences in baseline HRV indices were examined. The heroin group underwent electrocardiogram and respiration rate measurements at baseline, during a depressive condition, and during a happiness condition, before and after which they took part in the heart-rate-variability–biofeedback program. The effects of heart-rate-variability–biofeedback on depressive symptoms, HRV indices, and respiration rates were examined.

Results

There was a negative correlation between depression and high frequency of HRV, and a positive correlation between depression and low frequency to high frequency ratio of HRV. The heroin group had a lower overall and high frequency of HRV, and a higher low frequency/high frequency ratio than healthy controls. The heart-rate-variability–biofeedback intervention increased HRV indices and decreased respiratory rates from pre-intervention to post-intervention.

Conclusion

Reduced parasympathetic and increased sympathetic activations were found in heroin users. Heart-rate-variability–biofeedback was an effective non-pharmacological intervention to restore autonomic balance.

Mortality Risk Among Heroin Abusers: Clients and Non-clients of Public Treatment Centers for Drug Addiction

In Europe, the prevalence of problematic heroin consumption is declining but, in spite of the constant rise in the number of treated patients, many of them do not turn to a public treatment center (PTC) for their drug addiction. The aim of this study is to study the mortality risk separately for heroin abusers PTC clients and non-PTC clients (i.e., those never treated at a PTC).

METHODS

Cohort study on 959 subjects resident in the metropolitan area of Bologna who went to a health service (i.e., hospital, emergency unit) or to a PTC following problems due to heroin abuse for the first time between 01/01/2004 and 31/12/2009. Standardized mortality ratios (SMRs) were calculated, and regression analysis using the Poisson method was used.

RESULTS

Elevated and statistically significant SMRs were found in both genders, irrespective of the contact facility, being higher for PTC clients. Among non-PTC clients 28% of deaths overall were from AIDS or infectious diseases (6% PTC clients), 17% from opiate overdose (6% PTC clients) and 14% from violent causes (6% PTC clients). Multivariate analysis showed a higher mortality risk for patients who used both heroin and cocaine and for concomitant abuse of benzodiazepines.

CONCLUSIONS

The characteristics of patients never before treated for addiction prompts a reflection on the presence of a hidden group of patients who are hard to reach, who have a high mortality risk and who turn to health care treatment facilities only in the event of an emergency.

Effects of regulation on methadone and buprenorphine provision in the wake of Hurricane Sandy

Hurricane Sandy led to the closing of many major New York City public hospitals including their substance abuse clinics and methadone programs, and the displacement or relocation of thousands of opioid-dependent patients from treatment. The disaster provided a natural experiment that revealed the relative strengths and weaknesses of methadone treatment in comparison to physician office-based buprenorphine treatment for opioid dependence, two modalities of opioid maintenance with markedly different regulatory requirements and institutional procedures. To assess these two modalities of treatment under emergency conditions, semi-structured interviews about barriers to and facilitators of continuity of care for methadone and buprenorphine patients were conducted with 50 providers of opioid maintenance treatment. Major findings included that methadone programs presented more regulatory barriers for providers, difficulty with dose verification due to impaired communication, and an over reliance on emergency room dosing leading to unsafe or suboptimal dosing. Buprenorphine treatment presented fewer regulatory barriers, but buprenorphine providers had little to no cross-coverage options compared to methadone providers, who could refer to alternate methadone programs. The findings point to the need for well-defined emergency procedures with flexibility around regulations, the need for a central registry with patient dose information, as well as stronger professional networks and cross-coverage procedures. These interventions would improve day-to-day services for opioid-maintained patients as well as services under emergency conditions.

Illicit buprenorphine use, interest in and access to buprenorphine treatment among syringe exchange participants

Poor access to buprenorphine maintenance treatment (BMT) may contribute to illicit buprenorphine use. This study investigated illicit buprenorphine use and barriers to BMT among syringe exchange participants. Computer-based interviews conducted at a New York City harm reduction agency determined: prior buprenorphine use; barriers to BMT; and interest in BMT. Of 102 opioid users, 57 had used illicit buprenorphine and 32 had used prescribed buprenorphine. When illicit buprenorphine users were compared to non-users: barriers to BMT ("did not know where to get treatment") were more common (64 vs. 36%, p<0.01); mean levels of interest in BMT were greater (3.37 ± 1.29 vs. 2.80 ± 1.34, p=0.03); and more participants reported themselves likely to initiate treatment (82 vs. 50%, p<0.01). Illicit buprenorphine users were interested in BMT but did not know where to go for treatment. Addressing barriers to BMT could reduce illicit buprenorphine use.

Burden and nutritional deficiencies in opiate addiction- systematic review article

Addiction to the illicit and prescribed use of opiate is an alarming public health issue. Studies on addictive disorders have demonstrated severe nutritional deficiencies in opiate abusers with behavioral, physiological and cognitive symptoms. Opiate addiction is also link with a significant number of diseases including Human Immunodeficiency Virus (HIV), Hepatitis C Virus (HCV) and other blood borne diseases generally stem from the use of needles to inject heroin. The use of medication assisted treatment for opioid addicts in combination with behavioural therapies has been considered as a highly effective treatment. Methadone is a long-lasting μ-opioid agonist and a pharmacological tool which attenuates withdrawal symptoms effectively replacement therapies. This review article aims to explain opiate addiction mechanisms, epidemiology and disease burden with emphasis on dietary and nutritional status of opiate dependent patients in methadone maintenance therapy.

Buprenorphine treatment for hospitalized, opioid-dependent patients: a randomized clinical trial

IMPORTANCE

Buprenorphine opioid agonist treatment (OAT) has established efficacy for treating opioid dependency among persons seeking addiction treatment. However, effectiveness for out-of-treatment, hospitalized patients is not known.

OBJECTIVE

To determine whether buprenorphine administration during medical hospitalization and linkage to office-based buprenorphine OAT after discharge increase entry into office-based OAT, increase sustained engagement in OAT, and decrease illicit opioid use at 6 months after hospitalization.

DESIGN, SETTING, AND PARTICIPANTS

From August 1, 2009, through October 31, 2012, a total of 663 hospitalized, opioid-dependent patients in a general medical hospital were identified. Of these, 369 did not meet eligibility criteria. A total of 145 eligible patients consented to participation in the randomized clinical trial. Of these, 139 completed the baseline interview and were assigned to the detoxification (n = 67) or linkage (n = 72) group.

INTERVENTIONS

Five-day buprenorphine detoxification protocol or buprenorphine induction, intrahospital dose stabilization, and postdischarge transition to maintenance buprenorphine OAT affiliated with the hospital's primary care clinic (linkage).

MAIN OUTCOMES AND MEASURES

Entry and sustained engagement with buprenorphine OAT at 1, 3, and 6 months (medical record verified) and prior 30-day use of illicit opioids (self-report).

RESULTS

During follow-up, linkage participants were more likely to enter buprenorphine OAT than those in the detoxification group (52 [72.2%] vs 8 [11.9%], P < .001). At 6 months, 12 linkage participants (16.7%) and 2 detoxification participants (3.0%) were receiving buprenorphine OAT (P = .007). Compared with those in the detoxification group, participants randomized to the linkage group reported less illicit opioid use in the 30 days before the 6-month interview (incidence rate ratio, 0.60; 95% CI, 0.46-0.73; P < .01) in an intent-to-treat analysis.

CONCLUSIONS AND RELEVANCE

Compared with an inpatient detoxification protocol, initiation of and linkage to buprenorphine treatment is an effective means for engaging medically hospitalized patients who are not seeking addiction treatment and reduces illicit opioid use 6 months after hospitalization. However, maintaining engagement in treatment remains a challenge.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00987961.

Constrained TRPV1 agonists synthesized via silver-mediated intramolecular azo-methine ylide cycloaddition of α-iminoamides

As part of an effort to identify agonists of TRPV1, a peripheral sensory nerve ion channel, high throughput screening of the NIH Small Molecule Repository (SMR) collection identified MLS002174161, a pentacyclic benzodiazepine. A synthesis effort was initiated that ultimately afforded racemic seco analogs 12 of the SMR compound via a silver mediated intramolecular [3+2] cycloaddition of an azo-methine ylide generated from α-iminoamides 11. The cycloaddition set four contiguous stereocenters and, in some cases, also spontaneously afforded imides 13 from 12. The synthesis of compounds 12, the features that facilitated the conversion of 12-13, and their partial agonist activity against TRPV1 are discussed.