Statement of the American Society Of Addiction Medicine Consensus Panel on the use of buprenorphine in office-based treatment of opioid addiction

A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder

BACKGROUND

Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-out diminish their efficacy, increasing the risks of adverse outcomes, including death. Predicting important outcomes, including non-prescribed opioid use (NPOU) and treatment discontinuation among persons receiving medications for OUD (MOUD) can provide a proactive approach to these challenges. Our study uses ecological momentary assessment (EMA) and deep learning to predict momentary NPOU, medication nonadherence, and treatment retention in MOUD patients.

METHODS

Study participants included adults receiving MOUD at a large outpatient treatment program. We predicted NPOU (EMA-based), medication nonadherence (Electronic Health Record [EHR]- and EMA-based), and treatment retention (EHR-based) using context-sensitive EMAs (e.g., stress, pain, social setting). We used recurrent deep learning models with 7-day sliding windows to predict the next-day outcomes, using Area Under the ROC Curve (AUC) for assessment. We employed SHapley additive ExPlanations (SHAP) to understand feature latency and importance.

RESULTS

Participants comprised 62 adults with 14,322 observations. Model performance varied across EMA subtypes and outcomes with AUCs spanning 0.58-0.97. Recent substance use was the best performing predictor for EMA-based NPOU (AUC = 0.97). Life-contextual factors were best performers for EMA-based medication nonadherence (AUC = 0.68) and retention (AUC = 0.89), and substance use risk factors (e.g., nicotine and alcohol use) and self-reported MOUD adherence performed best for predicting EHR-based medication nonadherence (AUC = 0.79). SHAP revealed varying latencies between predictors and outcomes.

CONCLUSIONS

Findings support the effectiveness of EMA and deep learning for forecasting actionable outcomes in persons receiving MOUD. These insights will enable the development of personalized dynamic risk profiles and just-in-time adaptive interventions (JITAIs) to mitigate high-risk OUD outcomes.

Trajectories of medication for opioid use disorder and their impact on HIV testing among people who inject drugs in India: A longitudinal assessment of clinic-based data

AIMS

The aim of this study was to identify longitudinal trajectories of medication for opioid use disorder (MOUD) use throughout 1 year following MOUD initiation and to examine the association of trajectory membership with HIV testing among people who inject drugs in India.

DESIGN, SETTING AND PARTICIPANTS

The study comprised group-based trajectory modeling using longitudinal clinic-based MOUD use data, set in seven Indian cities with integrated care centers (ICC) delivering MOUD, predominantly buprenorphine, in 2018-2019. A total of 1562 people who inject drugs who initiated MOUD for the first time at an ICC between 1 January 2018 and 31 December 2018 were included in this study. Median age was 26 years, 98% were male and 22% were living with HIV.

MEASUREMENTS

Daily directly observed MOUD visits were biometrically verified and entered into an electronic database. A dichotomous variable for MOUD use each day throughout 1 year following initiation was created for the trajectory models. Client socio-demographics, HIV status and testing at the ICC and dose were extracted from the clinical database.

FINDINGS

We found five MOUD trajectory groups: (1) early dropout (41%), (2) late dropout (18%), (3) delayed dropout (10%), (4) intermittent use (12%) and (5) persistent use (19%). Differences between the dropout groups were characterized by the rate of decline in MOUD use over time. The late dropout group had an 18% higher rate of HIV testing [adjusted rate ratio (aRR) = 1.18, 95% confidence interval (CI) = 1.10-1.27] and those with persistent MOUD use had a 91% higher rate of testing (aRR = 1.91, 95% CI = 1.77-2.05) compared with the early dropout group.

CONCLUSIONS

Nearly 70% of clients initiating medication for opioid use disorder (MOUD) at integrated care centers (ICCs) in India stop MOUD use within 1 year, with trajectories characterized by the rate of decline in engagement. Clients with better MOUD adherence appear to return more frequently for HIV testing at the ICCs, underscoring the value of integrated care models.

Patient and clinician experiences with the implementation of telemedicine and related adaptations in office-based buprenorphine treatment during the COVID-19 pandemic: a qualitative study

BACKGROUND

Deaths from opioid overdose have increased dramatically in the past decade. For individuals with opioid use disorder (OUD), agonist medications such as methadone and buprenorphine reduce opioid-related morbidity and mortality. Historically, the provision of buprenorphine treatment in office-based settings has relied on frequent in-person contact, likely influencing patients' access to and retention in care. In response to the COVID-19 pandemic, providers of office-based buprenorphine treatment rapidly adapted their care processes, increasingly relying on telemedicine visits. To date, relatively few prior studies have combined patient and clinician perspectives to examine the implementation of telemedicine and related care adaptations, particularly in safety-net settings.

METHODS

Qualitative methods were used to explore clinician and patient experiences with telemedicine in an office-based buprenorphine treatment clinic affiliated with an urban safety-net hospital. From this clinic, we conducted semi-structured interviews with 25 patients and 16 clinicians (including prescribers and non-prescribers). We coded all interview data and used a thematic analysis approach to understand how telemedicine impacted treatment quality and engagement in care, as well as preferences for using telemedicine moving forward.

RESULTS

Five themes regarding the implementation of telemedicine and other COVID-19-related care adaptations arose from patient and clinician perspectives: (1) telemedicine integration precipitated openness to more flexibility in care practices, (2) concerns regarding telemedicine-related adaptations centered around safety and accountability, (3) telemedicine encounters required rapport and trust between patients and clinicians to facilitate open communication, (4) safety-net patient populations experienced unique challenges when using telemedicine, particularly in terms of the technology required and the need for privacy, and (5) there is an important role for telemedicine in office-based buprenorphine treatment moving forward, primarily through its use in hybrid models of care which integrate both in-person and virtual visits.

CONCLUSIONS

Telemedicine implementation within office-based buprenorphine treatment has the potential to improve patients' engagement in care; however, our findings emphasize the need for tailored approaches to implementing telemedicine in office-based buprenorphine treatment, particularly within safety-net settings. Overall, this study supports the maintenance of changes to policy and practice that facilitate the use of telemedicine in office-based buprenorphine treatment beyond the COVID-19 public health emergency.

"They make it too hard and too many hoops to jump": system and organizational barriers to drug treatment during epidemic rates of opioid overdose

INTRODUCTION

The United States is currently facing an opioid overdose crisis. Research suggests that multiple interventions are needed to reduce overdose deaths including increasing access and retention to medications to treat opioid use disorders (MOUD, i.e., methadone, buprenorphine, and naltrexone) and increasing the distribution and use of naloxone, a medication that can reverse the respiratory depression that occurs during opioid overdoses. However, barriers to MOUD initiation and retention persist and discontinuations of MOUD carry a heightened risk of overdose. Many times, MOUD is not sought as a first line of treatment by people with opioid use disorder (OUD), many of whom seek treatment from medically managed withdrawal (detox) programs. Among those who do initiate MOUD, retention is generally low. The present study examines the treatment experiences of people who use opioids in three states, Connecticut, Kentucky, and Wisconsin.

METHODS

We conducted in-depth interviews with people who use opioids in a rural, urban, and suburban area of three states: Connecticut, Kentucky and Wisconsin. Data analysis was collaborative and key themes were identified through multiple readings, coding of transcripts and discussion with all research team members.

RESULTS

Results reveal a number of systemic issues that reduce the likelihood that people initiate and are retained on MOUD including the ubiquity of detox as a first step in drug treatment, abstinence requirements and requiring patients to attend group treatment. MOUD-related stigma was a significant factor in the kinds of treatment participants chose and their experiences in treatment.

CONCLUSIONS

Interventions to reduce MOUD stigma are needed to encourage MOUD as a first course of treatment. Eliminating abstinence-based rules for MOUD treatment may improve treatment retention and decrease overdose risk.

Impact of the Communities That HEAL Intervention on Buprenorphine-Waivered Practitioners and Buprenorphine Prescribing: A Prespecified Secondary Analysis of the HCS Randomized Clinical Trial

Importance

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.

Objective

To determine whether the Communities That HEAL (CTH) intervention increased the rate of practitioners with DATA 2000 waivers and buprenorphine prescribing.

Design, Setting, and Participants

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.

Intervention

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.

Main Outcomes and Measures

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.

Results

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).

Conclusions and Relevance

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.

Trial Registration

ClinicalTrials.gov Identifier: NCT04111939.

Sleep disturbance as a therapeutic target to improve opioid use disorder treatment

Sleep health is an important factor across several physical and mental health disorders, and a growing scientific consensus has identified sleep as a critical component of opioid use disorder (OUD), both in the active disease state and during OUD recovery. The goal of this narrative review is to collate the literature on sleep, opioid use, and OUD as a means of identifying therapeutic targets to improve OUD treatment outcomes. Sleep disturbance is common and often severe in persons with OUD, especially during opioid withdrawal, but also in persons on opioid maintenance therapies. There is ample evidence that sleep disturbances including reduced total sleep time, disrupted sleep continuity, and poor sleep quality often accompany negative OUD treatment outcomes. Sleep disturbances are bidirectionally associated with several other factors related to negative treatment outcomes, including chronic stress, stress reactivity, low positive affect, high negative affect, chronic pain, and drug craving. This constellation of outcome variables represents a more comprehensive appraisal of the quality of life and quality of recovery than is typically assessed in OUD clinical trials. To date, there are very few clinical trials or experimental studies aimed at improving sleep health in OUD patients, either as a means of improving stress, affect, and craving outcomes, or as a potential mechanistic target to reduce opioid withdrawal and drug use behaviors. As such, the direct impact of sleep improvement in OUD patients is largely unknown, yet mechanistic and clinical research suggests that therapeutic interventions that target sleep are a promising avenue to improve OUD treatment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Management of opioid use disorder, opioid withdrawal, and opioid overdose prevention in hospitalized adults: A systematic review of existing guidelines

BACKGROUND

Hospitalizations related to the consequences of opioid use are rising. National guidelines directing in-hospital opioid use disorder (OUD) management do not exist. OUD treatment guidelines intended for other treatment settings could inform in-hospital OUD management.

OBJECTIVE

Evaluate the quality and content of existing guidelines for OUD treatment and management.

DATA SOURCES

OVID MEDLINE, PubMed, Ovid PsychINFO, EBSCOhost CINHAL, ERCI Guidelines Trust, websites of relevant societies and advocacy organizations, and selected international search engines.

STUDY SELECTION

Guidelines published between January 2010 to June 2020 addressing OUD treatment, opioid withdrawal management, opioid overdose prevention, and care transitions among adults.

DATA EXTRACTION

We assessed quality using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument.

DATA SYNTHESIS

Nineteen guidelines met the selection criteria. Most recommendations were based on observational studies or expert consensus. Guidelines recommended the use of nonstigmatizing language among patients with OUD; to assess patients with unhealthy opioid use for OUD using the Diagnostic Statistical Manual of Diseases-5th Edition criteria; use of methadone or buprenorphine to treat OUD and opioid withdrawal; use of multimodal, nonopioid therapy, and when needed, short-acting opioid analgesics in addition to buprenorphine or methadone, for acute pain management; ensuring linkage to ongoing methadone or buprenorphine treatment; referring patients to psychosocial treatment; and ensuring access to naloxone for opioid overdose reversal.

CONCLUSIONS

Included guidelines were informed by studies with various levels of rigor and quality. Future research should systematically study buprenorphine and methadone initiation and titration among people using fentanyl and people with pain, especially during hospitalization.

The effects of opioid policy changes on transitions from prescription opioids to heroin, fentanyl and injection drug use: a qualitative analysis

BACKGROUND

Beginning in the 1990s, nonmedical use of prescription opioids (POs) became a major public health crisis. In response to rising rates of opioid dependence and fatal poisonings, measures were instituted to decrease the prescription, diversion, and nonmedical use of POs including prescription drug monitoring programs (PDMPs), pain clinic laws, prescription duration limits, disciplining doctors who prescribed an excessive number of POs, and the advent of abuse deterrent formulations of POs. This paper explores the unintended effects of these policies in the descriptions of why people who use opioids transitioned from PO to injection or heroin/fentanyl use.

METHODS

We conducted 148 in-depth-interviews with people who use prescription opioids nonmedically, fentanyl or heroin from a rural, urban and suburban area in three states, Connecticut, Kentucky and Wisconsin. Interviews with people who use opioids (PWUO) focused on how they initiated their opioid use and any transitions they made from PO use to heroin, fentanyl or injection drug use.

RESULTS

The majority of participants reported initiating use with POs, which they used for medical or nonmedical purposes. They described needing to take more POs or switched to heroin or fentanyl as their tolerance increased. As more policies were passed to limit opioid prescribing, participants noticed that doctors were less likely to prescribe or refill POs. This led to scarcity of POs on the street which accelerated the switch to heroin or fentanyl. These transitions likely increased risk of overdose and HIV/HCV infection.

CONCLUSIONS

A careful analysis of how and why people say they transitioned from PO to heroin or fentanyl reveals many unintended harms of policy changes to prevent overprescribing and diversion. Results highlight the importance of mitigating harms that resulted from policy changes.

Long-term patient outcomes following buprenorphine/naloxone treatment for opioid use disorder: a retrospective analysis in a commercially insured population

Background: While buprenorphine/naloxone (buprenorphine) has been demonstrated to be an effective medication for treating opioid use disorder (OUD), an important question exists about how long patients should remain in treatment.Objective: To examine the relationship between treatment duration and patient outcomes for individuals with OUD who have been prescribed buprenorphine.Methods: We conducted a retrospective, longitudinal study using the Massachusetts All Payer Claims Database, 2013 to 2017. The study comprised over 2,500 patients, approximately one-third of whom were female, who had been prescribed buprenorphine for OUD. The outcomes were hospitalizations and emergency room (ER) visits at 36 months following treatment initiation and 12 months following treatment discontinuation. Patients were classified into four groups based on treatment duration and medication adherence: poor adherence, duration <12 months; good adherence, duration <6 months; good adherence, duration 6 to 12 months, and good adherence, duration >12 months. We conducted analyses at the patient level of the relationship between duration and outcomes.Results: Better outcomes were observed for patients whose duration was greater than 12 months. Patients in the other groups had higher odds of hospitalization at 36 months following treatment initiation: poor adherence (2.71), <6 months (1.53), and 6 to 12 months (1.42). They also had higher odds of ER visits: poor adherence (1.69), <6 months (1.51), and 6 to 12 months (1.30). Similar results were observed following treatment discontinuation.Conclusions: OUD treatment with buprenorphine should be continued for at least 12 months to reduce hospitalizations and ED visits.

Microinduction to Buprenorphine from Methadone for Chronic Pain: Outpatient Protocol with Case Examples

The negative sequelae of full mu agonist chronic opioid analgesic therapy (COAT) are numerous and well documented. One safer alternative to COAT use in chronic, non-cancer pain (CNCP) is a transition to buprenorphine. However, transitioning patients from methadone COAT regimens can be challenging due to the pharmacodynamics of buprenorphine, as well as to the limited commercial formulations of buprenorphine available, and their restrictive instructions for use. Presented here are clinical cases transitioned to buprenorphine from methadone via a novel microinduction protocol during enrollment in an outpatient, group, integrative, multidisciplinary program. The protocol was successful to promote satisfactory and sustained COAT cessation for patients with CNCP and is arguably safer than current conventional practices.

Medication for Addiction Treatment and Postpartum Health Care Utilization Among Pregnant Persons With Opioid Use Disorder

OBJECTIVE

To estimate treatment and postpartum health care utilization among pregnant persons with opioid use disorder (OUD) in Vermont and Maine.

METHODS

Vermont's and Maine's All Payer Claims Databases were used to identify deliveries 2010 to 2018 that were paid for, in part, by Medicaid. OUD was identified among pregnant persons if they had any claim with an OUD-diagnosis code (ICD-9/10) or medication for addiction treatment (MAT) code during the 5 months before delivery event. Consistent and inconsistent MAT were compared to no MAT on the rate of hospitalizations and emergency department (ED) visits in the first 12 months' postpartum using negative binomial regression.

RESULTS

From 2010 through 2018, 27,652 deliveries in Vermont and 43,480 deliveries in Maine were among persons insured by Medicaid. The prevalence of OUD among pregnant persons increased from 6.7% to 11.6% in Vermont and from 7.4% to 11.0% in Maine. Among pregnant persons with OUD in 2018, 57% had consistent MAT in Vermont and 50% had consistent MAT in Maine; approximately 32% and 27% were not in treatment in Vermont and Maine, respectively. In Maine, consistent MAT was associated with a 47% lower rate of hospitalization and 37% to 46% lower rates of ED visits when compared to those without MAT; in Vermont, those with consistent buprenorphine treatment had a 30% lower rate of ED visits.

CONCLUSIONS

Medicaid data from Vermont and Maine suggests that medication for addiction treatment for opioid use disorder during pregnancy reduces emergency health care utilization in the first year postpartum.

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study

Background

Buprenorphine is a widely used treatment option for patients with opioid use disorder (OUD). Premature discontinuation from this treatment has many negative health and societal consequences.

Objective

To develop and evaluate a machine learning based two-stage clinical decision-making framework for predicting which patients will discontinue OUD treatment within less than a year. The proposed framework performs such prediction in two stages: (i) at the time of initiating the treatment, and (ii) after two/three months following treatment initiation.

Methods

For this retrospective observational analysis, we utilized Massachusetts All Payer Claims Data (MA APCD) from the year 2013 to 2015. Study sample included 5190 patients who were commercially insured, initiated buprenorphine treatment between January and December 2014, and did not have any buprenorphine prescription at least one year prior to the date of treatment initiation in 2014. Treatment discontinuation was defined as at least two consecutive months without a prescription for buprenorphine. Six machine learning models (i.e., logistic regression, decision tree, random forest, extreme-gradient boosting, support vector machine, and artificial neural network) were tested using a five-fold cross validation on the input data. The first-stage models used patients’ demographic information. The second-stage models included information on medication adherence during the early phase of treatment based on the proportion of days covered (PDC) measure.

Results

A substantial percentage of patients (48.7%) who started on buprenorphine discontinued the treatment within one year. The area under receiving operating characteristic curve (C-statistic) for the first stage models varied within a range of 0.55 to 0.59. The inclusion of knowledge regarding patients’ adherence at the early treatment phase in terms of two-months and three-months PDC resulted in a statistically significant increase in the models’ discriminative power (p-value < 0.001) based on the C-statistic. We also constructed interpretable decision classification rules using the decision tree model.

Conclusion

Machine learning models can predict which patients are most at-risk of premature treatment discontinuation with reasonable discriminative power. The proposed machine learning framework can be used as a tool to help inform a clinical decision support system following further validation. This can potentially help prescribers allocate limited healthcare resources optimally among different groups of patients based on their vulnerability to treatment discontinuation and design personalized support systems for improving patients’ long-term adherence to OUD treatment.

Receipt of medications for opioid use disorder among youth engaged in primary care: data from 6 health systems

PURPOSE

Little is known about prevalence and treatment of OUD among youth engaged in primary care (PC). Medications are the recommended treatment of opioid use disorder (OUD) for adolescents and young adults (youth). This study describes the prevalence of OUD, the prevalence of medication treatment for OUD, and patient characteristics associated with OUD treatment among youth engaged in PC.

METHODS

This cross-sectional study includes youth aged 16-25 years engaged in PC. Eligible patients had ≥ 1 PC visit during fiscal years (FY) 2014-2016 in one of 6 health systems across 6 states. Data from electronic health records and insurance claims were used to identify OUD diagnoses, office-based OUD medication treatment, and patient demographic and clinical characteristics in the FY of the first PC visit during the study period. Descriptive analyses were conducted in all youth, and stratified by age (16-17, 18-21, 22-25 years).

RESULTS

Among 303,262 eligible youth, 2131 (0.7%) had a documented OUD diagnosis. The prevalence of OUD increased by ascending age groups. About half of youth with OUD had documented depression or anxiety and one third had co-occurring substance use disorders. Receipt of medication for OUD was lowest among youth 16-17 years old (14%) and highest among those aged 22-25 (39%).

CONCLUSIONS

In this study of youth engaged in 6 health systems across 6 states, there was low receipt of medication treatment, and high prevalence of other substance use disorders and mental health disorders. These findings indicate an urgent need to increase medication treatment for OUD and to integrate treatment for other substance use and mental health disorders.

Patterns of patient discontinuation from buprenorphine/naloxone treatment for opioid use disorder: A study of a commercially insured population in Massachusetts

BACKGROUND

Research has shown buprenorphine/naloxone to be an effective medication for treating individuals with opioid use disorder. At the same time, treatment discontinuation rates are reportedly high though much of the extant evidence comes from studies of the Medicaid population.

OBJECTIVES

To examine the pattern and determinants of buprenorphine/naloxone treatment discontinuation in a population of commercially insured individuals.

RESEARCH DESIGN

We performed a retrospective observational analysis of Massachusetts All Payer Claims Data (MA APCD) covering years 2013 through 2017. We defined treatment discontinuation as a gap of 60 consecutive days without a prescription for buprenorphine/naloxone within a time frame of 24 months from the initiation of treatment. A mixed-effect Cox proportional hazard model examined the associated risk of discontinuing treatment with baseline predictors.

SUBJECTS

A total of 5134 individuals who were commercially insured during the study period.

MEASURES

Buprenorphine/naloxone treatment discontinuation.

RESULTS

Overall 75% of individuals had discontinued treatment within two years of initiating treatment, and median time to discontinuation was 300 days. Patients aged between 18 and 24 years (HR = 1.436, 95%, CI = 1.240-1.663) and receiving treatment from prescribers with high panel-size (HR = 1.278, 95% CI = 1.112-1.468) had higher risk of discontinuing treatment. On the contrary, patients receiving treatment from multiple prescribers had lower associated risk of treatment discontinuation.

CONCLUSIONS

A substantial percentage of patients discontinue treatment well before they can typically meet criteria for sustained remission. Further investigations should assess the clinical outcomes following premature discontinuation and identify strategies for retaining patients in treatment.

Systematic content analysis of patient evaluations of START NOW psychotherapy reveals practical strategies for improving the treatment of opioid use disorder

BACKGROUND

Clinical trials provide consistent evidence for buprenorphine's efficacy in treating opioid use disorder (OUD). While the Drug Addiction Treatment Act of 2000 requires physicians to combine medication-assisted treatment (MAT) with behavioral intervention, there is no clear evidence for what form or elements of psychotherapy are most effective when coupled with MAT to treat OUD. This investigation involves focus groups designed to collect patient opinions about a specific psychotherapy, called START NOW, as well as general beliefs about various elements of psychotherapy for treating OUD. Our analysis reveals trends about patient preferences and strategies for improving OUD treatment.

METHODS

Subjects included patients enrolled in buprenorphine/naloxone MAT at our institution's office-based opioid treatment program. All subjects participated in a single START NOW group session, which was led by a provider (physician or nurse practitioner trained and standardized in delivering START NOW). Consented subjects participated in satisfaction surveys and audio-recorded focus groups assessing individual beliefs about various elements of psychotherapy for treating OUD.

RESULTS

Overall, 38 different focus groups, 92 participation events, and 44 unique subjects participated in 1-to-6 different START NOW session/audio-recorded focus group sessions led by a certified moderator. Demographic data from 36/44 subjects was collected. Seventy-five percent (33/44) completed the START NOW Assessment Protocol, which revealed self-reported behavioral trends. Analysis of all 92 START NOW Satisfaction Questionnaire results suggests that subjects' opinions about START NOW improved with increased participation. Our analysis of audio-recorded focus groups is divided into three subsections: content strategies for new psychotherapies, implementation strategies, and other observations. For example, participants request psychotherapies to target impulsivity and to teach future planning and build positive relationships.

CONCLUSIONS

The results of this study may guide implementation of psychotherapy and improve the treatment of OUD, especially as it relates to improving the modified START NOW program for treating OUD. Our study also reveals a favorable outlook of START NOW with increased participation, suggesting that any initial reticence to this program can be overcome to allow for effective implementation.

Addressing opioid overdose deaths: The vision for the HEALing communities study

The United States is facing two devastating public health crises- the opioid epidemic and the COVID-19 pandemic. Within this context, one of the most ambitious implementation studies in addiction research is moving forward. Launched in May 2019, the HEALing Communities Study (HCS) was developed by the National Institutes of Health (NIH) and the Substance Abuse and Mental Health Services Administration (SAMHSA) as part of the Helping to End Addiction Long-termSM Initiative (National Institutes of Health, 2020). The goal for this research was to reduce opioid overdose deaths by 40 % in three years by enhancing and integrating the delivery of multiple evidence-based practices (EBPs) with proven effectiveness in reducing opioid overdose deaths across health care, justice, and community settings. This paper describes the initial vision, goals, and objectives of this initiative; the impact of COVID-19; and the potential for knowledge to be generated from HCS at the intersection of an unrelenting epidemic of opioid misuse and overdoses and the ravishing COVID-19 pandemic.

The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

BACKGROUND

Opioid overdose deaths remain high in the U.S. Despite having effective interventions to prevent overdose deaths, there are numerous barriers that impede their adoption. The primary aim of the HEALing Communities Study (HCS) is to determine the impact of an intervention consisting of community-engaged, data-driven selection, and implementation of an integrated set of evidence-based practices (EBPs) on reducing opioid overdose deaths.

METHODS

The HCS is a four year multi-site, parallel-group, cluster randomized wait-list controlled trial. Communities (n = 67) in Kentucky, Massachusetts, New York and Ohio are randomized to active intervention (Wave 1), which starts the intervention in Year 1 or the wait-list control (Wave 2), which starts the intervention in Year 3. The HCS will test a conceptually driven framework to assist communities in selecting and adopting EBPs with three components: 1) a community engagement strategy with local coalitions to guide and implement the intervention; 2) a compendium of EBPs coupled with technical assistance; and 3) a series of communication campaigns to increase awareness and demand for EBPs and reduce stigma. An implementation science framework guides the intervention and allows for examination of the multilevel contexts that promote or impede adoption and expansion of EBPs. The primary outcome, number of opioid overdose deaths, will be compared between Wave 1 and Wave 2 communities during Year 2 of the intervention for Wave 1. Numerous secondary outcomes will be examined.

DISCUSSION

The HCS is the largest community-based implementation study in the field of addiction with an ambitious goal of significantly reducing fatal opioid overdoses.

Tramadol for the Management of Opioid Withdrawal: A Systematic Review of Randomized Clinical Trials

The increase in the prescription of opioid medications has resulted in a wildfire of misuse of opioids, both for medical and non-medical reasons, with over 1.7 million people in the United States (US) suffering from distinct disorders owing to opioid use. While various medications, such as methadone, buprenorphine, and naloxone, among others, have been used in treating opioid withdrawal symptoms, concerns of the potential abuse of these drugs, the cost of procurement, legislations, and prescription policies have risen. In recent times, tramadol has been considered a viable replacement for some of these treatment regimes. Tramadol is a synthetic analgesic that acts centrally, possessing opioid-like effects due to the binding of its metabolite with the mu (µ)-opioid receptor, yet with low potential for abuse. Several clinical studies conducted in the past ten years have identified the effects of tramadol in opioid withdrawal cases. The results showed that it exhibits better efficacy and tolerance with fewer side effects in specific clinical scenarios as compared to existing available detox management. We aim to examine the properties of tramadol in opioid withdrawal through this systematic review of clinical studies on humans.

Impact of Office-based Opioid Treatment on Emergency Visits and Hospitalization in Adolescents with Opioid Use Disorder

OBJECTIVE

To determine if engagement in office-based opioid treatment decreases emergency department, urgent care visits, and hospitalizations for acute opioid-related events (OREs) among adolescents with opioid use disorder.

STUDY DESIGN

This retrospective cohort study identified all emergent and outpatient visits among adolescents, age 10-19 years, referred for office-based opioid treatment between January 1, 2006 and December 31, 2016. Patients were dichotomized into 2 cohorts: those who did and did not engage in office-based opioid treatment. The primary end point was the difference in the proportion of visits over the study period for acute OREs between cohorts and within the office-based opioid treatment cohort before and after referral. Secondary end points assessed change in the proportion of outpatient visits for treatment unrelated to opioid use disorder.

RESULTS

Four hundred five emergent and outpatient visits were identified: 285 (70.4%) in the office-based opioid treatment cohort and 120 (29.6%) in the non-office-based opioid treatment cohort. After office-based opioid treatment engagement, 27.8% of visits in the office-based opioid treatment cohort were for acute OREs vs 80.8% in the non-office-based opioid treatment cohort (OR, 0.092; 95% CI, 0.052-0.160; P < .001). Outpatient visits in the office-based opioid treatment cohort were 10.9 times that of non-office-based opioid treatment (OR, 10.9; 95% CI, 6.23-19.16; P < .001). Within the office-based opioid treatment cohort, emergent visits decreased from 76.1% to 27.8% (OR, 0.121; 95% CI, 0.070-0.210; P < .001) and the odds of outpatient services was 8.3 times more after engagement (OR, 8.27; 95% CI, 4.78-14.4, P < .001).

CONCLUSIONS

The absolute decrease in emergent visits for acute OREs was 53% in adolescents engaged in office-based opioid treatment, representing a relative decrease of 65.6% compared with adolescents not engaged. An analysis of visits before and after office-based opioid treatment demonstrated similar decreases, suggesting that office-based opioid treatment has a significant impact in decreasing acute OREs in the adolescent population.

Changes in fentanyl demand following naltrexone, morphine, and buprenorphine in male rats

BACKGROUND

Individuals with opioid use disorder (OUD) exhibit high levels of economic demand for opioids, with high levels of consumption and relative insensitivity to changes in price. Because the medications used to treat OUD in medication-assisted therapy (MAT) act as antagonists or agonists at μ opioid receptors, they may alter the relationship between price and opioid intake.

METHODS

This study examined demand for a commonly abused synthetic prescription opioid, fentanyl, in male rats following s.c. pre-treatment with naltrexone (0.1-1.0 mg/kg), morphine (0.3-3.0 mg/kg) or buprenorphine (0.3-3.0 mg/kg). We normalized demand curves to intake at the lowest price and estimated effects on elasticity (sensitivity to changes in price). Rats were first trained to earn fentanyl (5 μg/kg/infusion) on a fixed ratio schedule, then they underwent daily training under a threshold procedure designed to produce within-session demand curve estimates. Rats received 14 threshold sessions before undergoing a series of tests encompassing each drug, at each dose.

RESULTS

Elasticity was increased by pretreatment with naltrexone, morphine or buprenorphine. Morphine also decreased initial intake, when the price for fentanyl was lowest. In contrast, initial intake was increased by naltrexone (according to an inverted-U shaped curve). The effects of naltrexone did not persist after the test session, but morphine and buprenorphine continued affecting demand elasticity 24 h or 48 h after the test, respectively.

CONCLUSIONS

These results indicate that fentanyl demand is sensitive to blockade or activation of opioid receptors by the drug classes used for MAT in humans.

Association between opioid analgesic therapy and initiation of buprenorphine management: An analysis of prescription drug monitoring program data

BACKGROUND

In the US, medication assisted treatment, particularly with office-based buprenorphine, has been an important component of opioid dependence treatment among patients with iatrogenic addiction to opioid analgesics. The predictors of initiating buprenorphine for addiction among opioid analgesic patients have not been well-described.

METHODS

We conducted a time-to-event analysis using data from the North Carolina (NC) Prescription Drug Monitoring Program (PDMP). Our outcome of interest was time-to-initiation of sublingual buprenorphine. Our study population was a prospective cohort of all state residents receiving a full-agonist opioid analgesic between 2011 and 2015. Predictors of initiation of sublingual buprenorphine examined included: age, gender, cumulative pharmacies and prescribers utilized, cumulative opioid intensity (defined as cumulative opioid exposure divided by duration of opioid exposure), and benzodiazepine dispensing.

FINDINGS

Of 4.3 million patients receiving opioid analgesics in NC between 2011 and 2015 (accumulated 8.30 million person-years of follow-up), and a total of 28,904 patients initiated buprenorphine formulations intended for addiction treatment (overall rate 3.48 per 1,000 person-years). In adjusted multivariate models, the utilization of 3 or more pharmacies (HR: 2.93; 95% CI: 2.82, 3.05) or 6 or more controlled substance prescribers (HR: 12.09; 95% CI: 10.76, 13.57) was associated with buprenorphine initiation. A dose-response relationship was observed for cumulative opioid intensity (HR in highest decile relative to lowest decile: 5.05; 95% CI: 4.70, 5.42). Benzodiazepine dispensing was negatively associated with buprenorphine initiation (HR: 0.63; 95% CI: 0.61, 0.65).

CONCLUSIONS

Opioid analgesic patients utilizing multiple prescribers or pharmacies are more likely to initiate sublingual buprenorphine. This finding suggests that patients with multiple healthcare interactions are more likely to be treated for high-risk opioid use, or may be more likely to be identified and treated for addiction. Future research should utilize prescription monitoring program data linked to electronic health records to include diagnosis information in analytic models.

Deploying science to change hearts and minds: Responding to the opioid crisis

The U.S. opioid epidemic, now in its third decade, continues to claim tens of thousands of lives each year. Despite strong scientific evidence to support the deployment of effective interventions from prevention to treatment, implementation and access to quality care continue to lag, in part, due to continued opioid prescribing, siloing of treatment services for those with opioid use disorder (OUD), public support for non-evidence-based practices, stigma, and discrimination. Primary prevention efforts should focus on avoiding exposure to opioids for chronic non-cancer pain, as there is little evidence of efficacy but substantial evidence of harms. FDA-approved medications for OUD (MOUD) have incontrovertible evidence supporting their efficacy, and their use saves lives. However, fewer than 10% of those in need are able to receive MOUD. The barriers include an inadequate workforce, inadequate reimbursement, challenges navigating the treatment system, and profiteering bad actors (e.g., treatment brokers, programs delivering non-evidenced-based care). Perhaps the greatest challenge (and deterrent from receiving MOUD) is stigma and lack of public knowledge about their efficacy. Detoxification is probably the most common form of "treatment" for OUD, but the evidence shows that detoxification actually increases the risk for overdose. Expansion of MOUD delivery in the criminal justice system, health care systems and communities is essential to stemming the tide of this epidemic. This article is a call to action for the scientific community to ensure that scientific evidence is guiding patient care, funding for treatment, and policy decisions that address the opioid epidemic.

Analgesic Effects of Hydromorphone versus Buprenorphine in Buprenorphine-maintained Individuals

BACKGROUND

Managing acute pain in buprenorphine-maintained individuals in emergency or perioperative settings is a significant challenge. This study compared analgesic and abuse liability effects of adjunct hydromorphone and buprenorphine using quantitative sensory testing, a model of acute clinical pain, in persons maintained on 12 to 16 mg sublingual buprenorphine/naloxone.

METHODS

Participants (N = 13) were enrolled in a randomized within-subject, double-blind, placebo-controlled three-session experiment. Each session used a cumulative dosing design with four IV injections (4, 4, 8, and 16 mg of hydromorphone or 4, 4, 8, and 16 mg of buprenorphine); quantitative sensory testing and abuse liability assessments were measured at baseline and after each injection. The primary analgesia outcome was change from baseline cold pressor testing; secondary outcomes included thermal and pressure pain testing, as well as subjective drug effects and adverse events.

RESULTS

A significant two-way interaction between study drug condition and dose was exhibited in cold pressor threshold (F10,110 = 2.14, P = 0.027) and tolerance (F10,110 = 2.69, P = 0.006). Compared to after placebo, participants displayed increased cold pressor threshold from baseline after cumulative doses of 32 mg of IV hydromorphone (means ± SD) (10 ± 14 s, P = 0.035) and 32 mg of buprenorphine (3 ± 5 s, P = 0.0.39) and in cold pressor tolerance after cumulative doses of 16 mg (18 ± 24 s, P = 0.018) and 32 mg (48 ± 73 s, P = 0.041) IV hydromorphone; cold pressor tolerance scores were not significant for 16 mg (1 ± 15 s, P = 0.619) or 32 mg (7 ± 16 s, P = 0.066) buprenorphine. Hydromorphone and buprenorphine compared with placebo showed greater ratings on subjective measures of high, any drug effects, good effects, and drug liking. Adverse events were more frequent during the hydromorphone compared with buprenorphine and placebo conditions for nausea, pruritus, sedation, and vomiting.

CONCLUSIONS

In this acute clinical pain model, high doses of IV hydromorphone (16 to 32 mg) were most effective in achieving analgesia but also displayed higher abuse liability and more frequent adverse events. Cold pressor testing was the most consistent measure of opioid-related analgesia.

Buprenorphine in the United States: Motives for abuse, misuse, and diversion

Opioid use disorder (OUD) and its consequences are a major public health concern. The partial agonist buprenorphine is a safe and effective treatment for OUD, but concerns about abuse, misuse, and diversion of buprenorphine have been raised. This narrative review examined the rates and motives for use of illicit buprenorphine in the United States. Findings from the 17 included studies suggest the majority of study participants using illicit buprenorphine do so for reasons related to misuse (to manage opioid withdrawal symptoms or achieve or maintain abstinence from other opioids). A smaller percentage of study respondents reported using buprenorphine for reasons related to abuse (to get high). There appears to be a gap between need for buprenorphine and access to adequate treatment. Attenuation of policy-related barriers and adoption of appropriate buprenorphine use by the treatment community are critical tools in the continued effort to reduce the burdens associated with OUD.

Effect of lowering initiation thresholds in a primary care-based buprenorphine treatment program

BACKGROUND

Office-based buprenorphine treatment is effective for opioid use disorder. Scant research has examined programmatic factors impacting successful initiation of treatment. To increase initiation of eligible patients, our buprenorphine program implemented changes to lower treatment thresholds. Most notable among these was elimination of a requirement that patients demonstrate abstinence from stimulants prior to initiating buprenorphine.

METHODS

This observational, retrospective study included patients screened for primary care-based buprenorphine treatment under high- and low-threshold conditions from 2015 to 2017. Background characteristics and treatment data were extracted from the electronic medical record and clinical registry. Chi-squared tests were used to compare proportions of patients initiated within 90 days of screening and retained to 60 days after initiation, under both conditions. Multivariate logistic regression was employed to compare relative odds of buprenorphine initiation after adjustment for several covariates. All analyses were stratified by recent stimulant use.

RESULTS

The sample of 168 patients included 96 in the high-threshold group and 72 in the low-threshold group. Among patients with recent stimulant use, low-threshold conditions were associated with a higher proportion of patients initiated (69% versus 35%, p = 0.002) and higher relative odds of initiation (aOR = 7.01, 95% CI = 2.26-21.80) but also with a lower proportion of patients retained (63% versus 100%, p = 0.004). Among patients without recent stimulant use, low-threshold conditions did not change these measures by a statistically significant margin.

CONCLUSIONS

Lower-threshold policies may increase buprenorphine treatment initiation for patients with co-occurring stimulant use. However, patients using stimulants may require additional supports to remain engaged.

Long-Term Retention in an Outpatient Behavioral Health Clinic With Buprenorphine

BACKGROUND AND OBJECTIVES

Despite high comorbidity between substance use disorders and other mental health diagnoses, there is a paucity of literature on buprenorphine treatment outcomes in outpatient mental health settings. This study aimed to identify rates and predictors of outpatient buprenorphine treatment retention in a Behavioral Health Clinic (BHC).

METHODS

This retrospective cohort study of adults on buprenorphine used multiple logistic regression to identify clinical and demographic factors associated with 1- and 2-year treatment retention and buprenorphine adherence.

RESULTS

Of 321 subjects, 169 (52.6%) were retained in treatment for at least 1 year; 114 (35.5%) were retained for 2 years or more. Buprenorphine adherence was 95.8% and 97.3% for 1- and 2-year retention groups, respectively. Predictors of 1-year retention included benzodiazepine co-prescription (adjusted odds ratio [AOR] = 2.4; 95% CI [1.30, 4.55]), having a diagnosis of other mood disorder (AOR = 3.4; [1.95, 5.98]), or nicotine use disorder (AOR = 2.4; [1.35, 4.27]). Predictors of 2-year retention included female gender (AOR = 2.1; [1.16, 3.73]), having a diagnosis of depressive disorder (AOR = 4.6; [1.49, 14.29]), other mood disorder (AOR = 3.6; [1.88, 6.88]), or nicotine use disorder (AOR = 2.0; [1.13, 3.52]).

DISCUSSION AND CONCLUSION

During the study period, 52.7% and 35.5% of BHC patients treated with buprenorphine were retained for 1 and 2 years, respectively, comparable to the studies performed within primary care. Providing buprenorphine treatment within mental health clinics may serve patients who are already engaged with mental health providers but are reluctant to start new treatment within another treatment setting.

SCIENTIFIC SIGNIFICANCE

Identifying common predictors of retention can help determine which patients require additional substance use treatment support. (Am J Addict 2019;28:339-346).

Associations between implementation of Project Lazarus and opioid analgesic dispensing and buprenorphine utilization in North Carolina, 2009-2014

Background

Project Lazarus (PL) is a seven-strategy, community-coalition-based intervention designed to reduce opioid overdose and dependence. The seven strategies include: community education, provider education, hospital emergency department policy change, diversion control, support programs for patients with pain, naloxone policies, and addiction treatment expansion. PL was originally developed in Wilkes County, NC. It was made available to all counties in North Carolina starting in March 2013 with funding of up to $34,400 per county per year. We examined the association between PL implementation and 1) overall dispensing rate of opioid analgesics, and 2) utilization of buprenorphine. Buprenorphine is often used in connection with medication assisted treatment (MAT) for opioid dependence.

Methods

Observational interrupted time series analysis of 100 counties over 2009–2014 (n = 7200 county-months) in North Carolina. The intervention period was March 2013–December 2014. 74 of 100 counties implemented the intervention. Exposure data sources comprised process surveys, training records, Prescription Drug Monitoring Program (PDMP) data, and methadone treatment program quality data. Outcomes were PDMP-derived counts of opioid prescriptions and buprenorphine patients. Incidence Rate Ratios were estimated with adjusted GEE Poisson regression models of all seven PL strategies.

Results

In adjusted models, diversion control efforts were positively associated with increased dispensing of opioid analgesics (IRR: 1.06; 95% CI: 1.03, 1.09). None of the other PL strategies were associated with reduced prescribing of opioid analgesics. Support programs for patients with pain were associated with a non-significant decrease in buprenorphine utilization (IRR: 0.93; 95% CI: 0.85, 1.02), but addiction treatment expansion efforts were associated with no change in buprenorphine utilization (IRR: 0.98; 95% CI: 0.91, 1.06).

Conclusions

Implementation of PL strategies did not appreciably reduce opioid dispensing and did not increase buprenorphine utilization. These results are consistent with previous findings of limited impact of PL strategies on overdose morbidity and mortality. Future studies should analyze the uptake of MAT using a more expansive view of institutional barriers, treating community coalition activity around MAT as an effect modifier.

Methadone Versus Buprenorphine for Opioid Use Dependence and Risk of Neonatal Abstinence Syndrome

BACKGROUND

Our objective was to estimate the association between methadone and neonatal abstinence syndrome compared with buprenorphine using a probabilistic bias analysis to account for unmeasured confounding by severity of addiction.

METHODS

We used a cohort of live-born infants exposed in utero to methadone or buprenorphine for maternal opioid maintenance therapy at Magee-Womens Hospital in Pittsburgh, PA, from 2013 to 2015 (n = 716). We determined exposure and outcome status using pharmacy billing claims. We used log-binomial regression models to assess association of treatment with neonatal abstinence syndrome after adjusting for parity, maternal race, age, delivery year, employment, hepatitis c, smoking, marital, and insurance status. We implemented probabilistic bias analysis, informed by an internal validation study, to assess the impact of unmeasured confounding by severity of addiction.

RESULTS

Infants exposed to methadone in utero were more likely to experience neonatal abstinence syndrome compared with those exposed to buprenorphine (RR, 1.3; 95% CI, 1.2, 1.5). After adjustment, infants exposed to methadone were more likely (adjusted RR, 1.3; 95% CI, 1.1, 1.5) than infants exposed to buprenorphine to have the syndrome. In the validation cohort (n = 200), severe addiction was more common in methadone- versus buprenorphine-exposed deliveries (77% vs. 32%). However, adjustment for severe addiction in the bias analysis only slightly attenuated the association (RR, 1.2; 95% CI, 1.0, 1.4), supporting conventional analysis.

CONCLUSIONS

Methadone is associated with increased risk of neonatal abstinence syndrome compared with buprenorphine in infants exposed in utero. This association is subject to minimal bias due to unmeasured confounding by severity of addiction.

Tapering off and returning to buprenorphine maintenance in a primary care Office Based Addiction Treatment (OBAT) program

BACKGROUND

Guidelines recommend long-term treatment for opioid use disorder including the use of buprenorphine; however, many patients desire to eventually taper off. This study examines the prevalence and patient characteristics of patients that voluntarily taper off buprenorphine.

METHODS

This is a 12-year retrospective cohort study of adults on buprenorphine in a large urban safety-net primary care practice. The primary outcome was completion of a voluntary buprenorphine taper, which was further characterized as a medically supervised or unsupervised taper. The secondary outcome was re-engagement in care after taper. Descriptive statistics and estimated proportions of both taper completion and re-engagement in treatment were calculated using Kaplan-Meier estimates.

RESULTS

The study sample included 1308 patients with a median follow-up time of 316 days; 48 patients were observed to taper off buprenorphine during the study period, with an estimated proportion of 15% (95%CI: 10%-21%) based on Kaplan Meier analyses. Less than half of the tapers, 45.8% (22/48), were medically supervised. Thirteen of the 48 patients subsequently, re-engaged in buprenorphine treatment (estimated proportion 61%, 95%CI: 27%-96%), based on Kaplan-Meier analyses with median follow-up time of 490 days.

DISCUSSION

Despite the fact that many patients desire to discontinue buprenorphine, a minority had a documented taper. Among those who tapered, more than half did so unsupervised by the clinic and a majority of those who tapered off returned to buprenorphine treatment within two years. As many patients are unable to successfully taper off buprenorphine, the medical community must work to address any barriers to long-term maintenance.

Buprenorphine-based opioid substitution therapy in India: A few observations, thoughts, and opinions

The most evidence-based treatment for opioid dependence is opioid agonist maintenance treatment also known as opioid substitution therapy (OST). However, there are some critical, yet unaddressed issues of buprenorphine-based substitution therapy, especially in the Indian context. These comprise of generalizability of the evidence for OST, especially for natural and pharmaceutical opioids and for all age groups, optimum dose and duration of OST, and mode of treatment delivery including the frequency of dispensing. Notwithstanding the use of buprenorphine-naloxone combination, abuse and diversion are serious but often underreported problems. There is an urgent need for health services research in India on OST, focusing on these aspects. Rather than directly copying from Western models, it is important to try to understand the useful and safe program and policy options likely to be applicable in the Indian setting, with our own assets as well as vulnerabilities.

Very early disengagement and subsequent re-engagement in primary care Office Based Opioid Treatment (OBOT) with buprenorphine

INTRODUCTION

Patients with opioid use disorder often require multiple treatment attempts before achieving stable recovery. Rates of disengagement from buprenorphine are highest in the first month of treatment and termination of buprenorphine therapy results in return to use rates as high as 90%. To better characterize these at-risk patients, this study aims to describe: 1) the frequency and characteristics of patients with very early disengagement (≤1month) from Office Based Opioid Treatment (OBOT) with buprenorphine and 2) the frequency and characteristics of patients who re-engage in care at this same OBOT clinic within 2years, among the subset of very early disengagers.

METHODS

This is a retrospective cohort study of adult patients enrolled in a large urban OBOT program. Descriptive statistics were used to characterize the sample and the proportion of patients with very early (≤1month) disengagement and their re-engagement. Multivariable logistic regression models were used to identify patient characteristics associated with the outcomes of very early disengagement and re-engagement. Potential predictors included: sex, age, race/ethnicity, education, employment, opioid use history, prior substance use treatments, urine drug testing, and psychiatric diagnoses.

RESULTS

Overall, very early disengagement was unusual, with only 8.4% (104/1234) of patients disengaging within the first month. Among the subset of very early disengagers with 2years of follow-up, the proportion who re-engaged with this OBOT program in the subsequent 2years was 11.9% (10/84). Urine drug test positive for opiates within the first month (AOR: 2.01, 95% CI: 1.02-3.93) was associated with increased odds of very early disengagement. Transferring from another buprenorphine prescriber (AOR: 0.09, 95% CI: 0.01-0.70) was associated with decreased odds of very early disengagement. No characteristics were significantly associated with re-engagement.

CONCLUSIONS

Early disengagement is uncommon; however, continued opioid use appeared to be associated with higher odds of treatment disengagement and these patients may warrant additional support. Re-engagement was uncommon, suggesting the need for a more formal explicit system to encourage and facilitate re-engagement among patients who disengage.

Sex Differences in Regional Brain Glucose Metabolism Following Opioid Withdrawal and Replacement

Methadone and buprenorphine are currently the most common pharmacological treatments for opioid dependence. Interestingly, the clinical response to these drugs appears to be sex specific. That is, females exhibit superior therapeutic efficacy, defined as extended periods of abstinence and longer time to relapse, compared with males. However, the underlying metabolic effects of opioid withdrawal and replacement have not been examined. Therefore, using ¹⁸FDG and microPET, we measured differences in regional brain glucose metabolism in males and females following morphine withdrawal and subsequent methadone or buprenorphine replacement. In both males and females, spontaneous opioid withdrawal altered glucose metabolism in regions associated with reward and drug dependence. Specifically, metabolic increases in the thalamus, as well as metabolic decreases in insular cortex and the periaqueductal gray, were noted. However, compared with males, females exhibited increased metabolism in the preoptic area, primary motor cortex, and the amygdala, and decreased metabolism in the caudate/putamen and medial geniculate nucleus. Methadone and buprenorphine initially abolished these changes uniformly, but subsequently produced their own regional metabolic alterations that varied by treatment and sex. Compared with sex-matched control animals undergoing spontaneous opioid withdrawal, male animals treated with methadone exhibited increased caudate/putamen metabolism, whereas buprenorphine produced increased ventral striatum and motor cortex metabolism in females, and increased ventral striatum and somatosensory cortex metabolism in males. Notably, when treatment effects were compared between sexes, methadone-treated females showed increased cingulate cortex metabolism, whereas buprenorphine-treated females showed decreased metabolism in cingulate cortex and increased metabolism in the globus pallidus. Perhaps the initial similarities in males and females underlie early therapeutic efficacy, whereas these posttreatment sex differences contribute to clinical treatment failure more commonly experienced by the former.

Patterns of Buprenorphine-Naloxone Treatment for Opioid Use Disorder in a Multistate Population

BACKGROUND

Buprenorphine-naloxone treatment for opioid use disorder has rapidly expanded, yet little is known about treatment outcomes among patients in the general population.

OBJECTIVE

To examine predictors of treatment duration, dosage, and continuity in a diverse community setting.

RESEARCH DESIGN

We examined QuintilesIMS Real World Data, an all-payer, pharmacy claims database, to conduct an analysis of individuals age 18 years and above initiating buprenorphine-naloxone treatment between January 2010 and July 2012 in 11 states. We used logistic regression to assess treatment duration longer than 6 months. We used accelerated failure time models to assess risk of treatment discontinuation. We used ordinary least squares regression to assess mean daily dosage. For patients with ≥3 fills, we also used logistic regression to assess whether ;an individual had a medication possession ratio of <80% and/or gaps in treatment >14 days. Models adjusted for individual demographics, prescribing physician specialty, state, and county-level variables.

RESULTS

Overall, 41% of individuals were retained in treatment for at least 6 months and the mean treatment length was 266 days. Compared with individuals who paid primarily for treatment with cash, adjusted odds of 6 month retention were significantly lower for individuals with primary payment from Medicaid fee-for-service, Medicare part D, and third-party commercial. There were substantial differences in 6-month retention across states with the lowest in Arizona and highest in New York. Low-possession ratios occurred for 30% of individuals and 26% experienced treatment episodes with gaps >14 days. Odds of low-possession and treatment gaps were largely similar across demographic groups and geographic areas.

CONCLUSIONS

Current initiatives to improve access and quality of buprenorphine-naloxone treatment should examine geographic barriers as well as the potential role of insurance benefit design in restricting treatment length.

Opioid Use in Pregnancy, Neonatal Abstinence Syndrome, and Childhood Outcomes: Executive Summary of a Joint Workshop by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, American College of Obstetricians and Gynecologists, American Academy of Pediatrics, Society for Maternal-Fetal Medicine, Centers for Disease Control and Prevention, and the March of Dimes Foundation

In April 2016, the Eunice Kennedy Shriver National Institute of Child Health and Human Development invited experts to a workshop to address numerous knowledge gaps and to review the evidence for the screening and management of opioid use in pregnancy and neonatal abstinence syndrome. The rising prevalence of opioid use in pregnancy has led to a concomitant dramatic fivefold increase in neonatal abstinence syndrome over the past decade. Experts from diverse disciplines addressed research gaps in the following areas: 1) optimal screening for opioid use in pregnancy; 2) complications of pregnancy associated with opioid use; 3) appropriate treatments for pregnant women with opioid use disorders; 4) the best approaches for detecting, treating, and managing newborns with neonatal abstinence syndrome; and 5) the long-term effects of prenatal opioid exposure on children. Workshop participants identified key scientific opportunities to advance the understanding of opioid use disorders in pregnancy and to improve outcomes for affected women, their children, and their families. This article provides a summary of the workshop presentations and discussions.

Non-buprenorphine opioid utilization among patients using buprenorphine

BACKGROUND AND AIMS

Buprenorphine is commonly used to treat opioid use disorder; however, non-buprenorphine prescription opioid use among these patients is not well defined. We sought to estimate the prevalence of non-buprenorphine opioid use among incident buprenorphine users and quantify levels of opioid use prior to, during and after the first treatment episode.

DESIGN

We used QuintilesIMS anonymized, individual-level, all-payer pharmacy claims to identify incident users of buprenorphine between January 2010 and July 2012 from a large cohort of approximately 50 million patients filling two or more prescriptions for any opioid during any calendar year between 2006 and 2013 in 11 states of interest.

SETTING

Eleven states within the United States.

PARTICIPANTS

Of the individuals who met our inclusion criteria (n = 38 096), 55% were female and half were aged between 29 and 54 years. Median length of the first treatment episode was 55 days [interquartile range (IQR) = 28-168 days].

MEASUREMENTS

We calculated four measures of non-buprenorphine opioid use: (1) number of prescriptions, (2) quantity dispensed, (3) days of supply and (4) total morphine milligram equivalents (MME) before, during and after the first treatment episode. Our primary outcome was the MME per opioid day supplied during each time period.

FINDINGS

Approximately two-fifths (43%) of buprenorphine recipients filled an opioid prescription during the treatment episode and two-thirds (67%) filled an opioid prescription following treatment. The mean total of MME per opioid day supplied 12 months prior to treatment declined from 57 mg/per day [95% confidence interval (CI) = 57, 58] to 54 mg/per day (95% CI = 54, 55) during the treatment episode, then remained constant at 55 mg/per day (95% CI = 54, 56) following the treatment episode.

CONCLUSIONS

The use of buprenorphine for the treatment of opioid use disorder has increased markedly in the United States. However, a substantial proportion of patients fill prescriptions for non-buprenorphine opioids during and following such treatment.

Systemic and individual factors in the buprenorphine treatment-seeking process: a qualitative study

BACKGROUND

Opioid use is a significant problem in Alaska. Medication-assisted treatment for opioid use, including buprenorphine, reduces withdrawal symptoms and the harm associated with opioid abuse. Understanding consumers' treatment-seeking process is important for addressing barriers to treatment, facilitating effective service utilization, and informing policy.

METHODS

To understand treatment-seeking behavior, we examined the attitudes, perceptions, and knowledge of those who would benefit from the medication-assisted treatment (MAT) buprenorphine. Qualitative data from 2 focus groups (each including 4 participants) and 3 in-depth interviews with people who have used or considered using buprenorphine in treatment for an opioid use disorder were analyzed using grounded theory and directed content analysis approaches.

RESULTS

Key findings suggest that individual (withdrawal process, individual motivation) and systemic (sociocultural, political, societal values) factors frame the treatment seeking process. Participants' progress on the treatment-seeking road was affected by models of addiction and MAT, which related to facilitators and barriers encountered in seeking treatment (e.g. support, resources, treatment structure). These factors shaped the longer-term road to recovery, which was seen as on ongoing process.

CONCLUSIONS

The findings of this study suggest it is crucial for interventionists to take a contextual approach that considers individual and systemic factors involved in opioid addiction, treatment, and recovery. This study highlights ways policy makers and treatment providers can address the barriers consumers face in their treatment-seeking process in order to increase treatment access.

Psychoactive medications and disengagement from office based opioid treatment (obot) with buprenorphine

BACKGROUND

The prevalence of psychoactive medications (PAMs) use in patients enrolled in Office Based Opioid Treatment (OBOT) and its association with engagement in this care is largely unknown.

OBJECTIVE

To describe the use of PAMs, including those medications with emerging evidence of misuse ("emerging PAMs" - gabapentin, clonidine and promethazine) among patients on buprenorphine, and its association with disengagement from OBOT.

METHODS

This is a retrospective cohort study of adults on buprenorphine from January 2002 to February 2014. The association between use of PAMs and 6-month disengagement from OBOT was examined using multivariable logistic regression models. A secondary analysis exploring time-to-disengagement was conducted using Cox regression models.

RESULTS

At OBOT entry, 43% of patients (562/1308) were prescribed any PAM; including 17% (223/1308) on an emerging PAM. In separate adjusted analyses, neither the presence of any PAM (adjusted odds ratio [AOR] 1.07, 95% CI [0.78, 1.46]) nor an emerging PAM (AOR 1.28 [0.95, 1.74]) was significantly associated with 6-month disengagement. The results were similar for the Cox model (any PAM (adjusted hazard ratio [AHR] 1.16, 95% CI [1.00, 1.36]), emerging PAM (AHR 1.18 [0.98, 1.41])). Exploratory analyses suggested gabapentin (AHR 1.30 [1.05-1.62]) and clonidine (AHR 1.33 [1.01-1.73]) specifically, may be associated with an overall shorter time to disengagement.

CONCLUSIONS

Psychoactive medication use is common among patients in buprenorphine treatment. No significant association was found between the presence of any psychoactive medications, including medications with emerging evidence of misuse, and 6-month disengagement from buprenorphine treatment.

Long-term retention in Office Based Opioid Treatment with buprenorphine

BACKGROUND

Guidelines recommend long-term treatment for opioid use disorder with buprenorphine; however, little is known about patients in long-term treatment. The aim of this study is to examine the prevalence and patient characteristics of long-term treatment retention (≥1year) in an Office Based Opioid Treatment (OBOT) program with buprenorphine.

METHODS

This is a retrospective cohort study of adults on buprenorphine from January 2002 to February 2014 in a large urban safety-net primary care OBOT program. The primary outcome was retention in OBOT for at least one continuous year. Potential predictors included age, race, psychiatric diagnoses, hepatitis C, employment, prior buprenorphine, ever heroin use, current cocaine, benzodiazepine and alcohol use on enrollment. Factors associated with ≥1year OBOT retention were identified using generalized estimating equation logistic regression models. Patients who re-enrolled in the program contributed repeated observations.

RESULTS

There were 1605 OBOT treatment periods among 1237 patients in this study. Almost half, 45% (717/1605), of all treatment periods were ≥1year and a majority, 53.7% (664/1237), of patients had at least one ≥1year period. In adjusted analyses, female gender (Adjusted Odds Ratio [AOR] 1.55, 95% CI [1.20, 2.00]) psychiatric diagnosis (AOR 1.75 [1.35, 2.27]) and age (AOR 1.19 per 10year increase [1.05, 1.34]) were associated with greater odds of ≥1year retention. Unemployment (AOR 0.72 [0.56, 0.92]), Hepatitis C (AOR 0.59 [0.45, 0.76]), black race/ethnicity (AOR 0.53 [0.36, 0.78]) and Hispanic race/ethnicity (AOR 0.66 [0.48, 0.92]) were associated with lower odds of ≥1year retention.

CONCLUSIONS

Over half of patients who presented to Office Based Opioid Treatment with buprenorphine were ultimately successfully retained for ≥1year. However, significant disparities in one-year treatment retention were observed, including poorer retention for patients who were younger, black, Hispanic, unemployed, or with hepatitis C.

The use of auricular acupuncture in opioid use disorder: A systematic literature review

BACKGROUND AND OBJECTIVES

Opioid use disorder (OUD) is a chronic disease with significant personal, societal, and public health consequences. Even for the minority who receive the most effective evidence-based treatments, morbidity, and mortality remain significant. These facts, along with the recovery movement calling for individualized, holistic, culturally sensitive care, have led to the exploration of adjunctive interventions including acupuncture. Despite hundreds of international trials, however, there is a lack of consensus regarding its efficacy in OUD due in large part to methodological issues of trials to date. In response to these issues, the National Acupuncture Detoxification Association (NADA) developed an operationalized manual auricular acupuncture protocol that has since become the most widely used in the US. This systematic review is the first to focus explicitly on randomized trials utilizing the NADA protocol as a complementary intervention to address OUD.

METHODS

The methods utilized to identify studies for inclusion are based on a 2009 protocol developed by the Cochrane Collaboration.

RESULTS

Four trials met inclusion criteria. Despite methodological issues, results indicate that while the NADA protocol may not be effective in reducing acute opiate craving or withdrawal, it may be effectively utilized as an adjunctive treatment to increase treatment retention and decrease methadone detoxification and maintenance dosages in OUD.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

Incorporation of the NADA protocol into existing evidence-based treatment approaches may facilitate recovery and, through its impact on treatment retention and completion, indirectly impact morbidity, and mortality in individuals with OUD. Given the limitations of the current review, conclusions are tentative and directions for future research are discussed. (Am J Addict 2016;25:592-602).

Clinical effects of unintentional pediatric buprenorphine exposures: experience at a single tertiary care center

CONTEXT

Exploratory buprenorphine ingestions in young children have been associated with clinically significant toxicity. However, detailed data on the clinical presentation and management of these patients are lacking. In an attempt to obtain more comprehensive data, we sought to examine a single center cohort of patients with report of buprenorphine exposure and provide descriptive analysis of rates of respiratory depression, time to respiratory depression, interventions, disposition, and outcomes.

STUDY DESIGN

We performed a retrospective cohort study at a single pediatric tertiary care center of children between the age of 6 months and 7 years of age hospitalized between 1 January 2006 and 1 September 2014 with report of buprenorphine or buprenorphine/naloxone exposure. Patients with possible exposure to more than one agent were excluded. We extracted clinical findings, including time to respiratory depression, interventions, and disposition from the medical record.

RESULTS

Eighty-eight patients met the inclusion criteria. Seven patients were excluded. The median age was 24 months [IQR 18-30]. 20 patients (23%) received activated charcoal while 48 (55%) were treated with naloxone. 36 (41%) patients were admitted to the ICU. Observed clinical effects included respiratory depression (83%), oxygen saturation by pulse oximetry (SpO₂)< 93% (28%), depressed mental status (80%), miosis (77%), and emesis (45%). Median time from exposure to respiratory depression was 263 min [IQR 105-486]. The median hospital length of stay was 22 h [IQR 20-26] and was positively associated with estimated exposure dose (p = 0.002).

CONCLUSION

Pediatric patients exposed to buprenorphine are likely to exhibit signs and symptoms of opioid toxicity, including respiratory depression, altered mental status and miosis. Although the majority of patients developed signs of clinical toxicity within 8 h of reported exposure, the optimum duration of monitoring remains unclear.

Medication-Assisted Treatment of Adolescents With Opioid Use Disorders

Opioid use disorder is a leading cause of morbidity and mortality among US youth. Effective treatments, both medications and substance use disorder counseling, are available but underused, and access to developmentally appropriate treatment is severely restricted for adolescents and young adults. Resources to disseminate available therapies and to develop new treatments specifically for this age group are needed to save and improve lives of youth with opioid addiction.

Methadone Medical Maintenance: An Early 21st-Century Perspective

Methadone medical maintenance is the treatment of stable methadone-maintained patients in primary care physicians' offices under an exemption from federal methadone regulations. Reports from seven such programs in six states show high retention and low frequencies of illicit drug use. Patients and physicians indicate high levels of satisfaction. Although methadone maintenance has a long history of safety and efficacy, most methadone medical maintenance programs are no longer operating or accepting new patients. Federal regulations for standard methadone clinics allow some features of methadone medical maintenance, and advocacy for state approval of these changes is strongly recommended.

Association between trajectories of buprenorphine treatment and emergency department and in-patient utilization

BACKGROUND AND AIMS

Uncertainty about optimal treatment duration for buprenorphine opioid agonist therapy may lead to substantial variation in provider and payer decision-making regarding treatment course. We aimed to identify distinct trajectories of buprenorphine use and examine outcomes associated with these trajectories to guide health system interventions regarding treatment length.

DESIGN

Retrospective cohort study.

SETTING

US Pennsylvania Medicaid.

PATIENTS

A total of 10 945 enrollees aged 18-64 years initiating buprenorphine treatment between 2007 and 2012.

MEASUREMENTS

Group-based trajectory models were used to identify trajectories based on monthly proportion of days covered with buprenorphine in the 12 months post-treatment initiation. We used separate multivariable Cox proportional hazard models to examine associations between trajectories and time to first all-cause hospitalization and emergency department (ED) visit within 12 months after the first-year treatment.

FINDINGS

Six trajectories [Bayesian information criterion (BIC) = -86 246.70] were identified: 24.9% discontinued buprenorphine < 3 months, 18.7% discontinued between 3 and 5 months, 12.4% discontinued between 5 and 8 months, 13.3% discontinued > 8 months, 9.5% refilled intermittently and 21.2% refilled persistently for 12 months. Persistent refill trajectories were associated with an 18% lower risk of all-cause hospitalizations [hazard ratio (HR) = 0.82, 95% confidence interval (CI) = 0.70-0.95] and 14% lower risk of ED visits (HR = 0.86, 95% CI = 0.78-0.95) in the subsequent year, compared with those discontinuing between 3 and 5 months.

CONCLUSIONS

Six distinct buprenorphine treatment trajectories were identified in this population-based low-income Medicaid cohort in Pennsylvania, USA. There appears to be an association between persistent use of buprenorphine for 12 months and lower risk of all-cause hospitalizations/emergency department visits.