Funded Projects

For individuals with moderate to severe opioid use disorder (OUD), medication-assisted treatments (MATs) such as oral methadone and extended-release naltrexone (XR-NTX) are the gold standard in initiating and maintaining long-term recovery. Still, many patients struggle with persistent sleep disturbance and stress reactivity in the early stages of recovery, which drive relapse behaviors. This proposal constitutes a novel mechanistic approach to understanding the role of the orexin system in sleep disturbance and circadian rhythms of stress in OUD patients who are maintained on MATs and are early in recovery. This study will determine whether the FDA-approved sleep medication suvorexant (SUVO) improves sleep continuity and decreases diurnal measures of stress, and whether improvement of sleep/stress processes translates to improved OUD treatment outcomes. Its findings will fill critical gaps in our understanding of the role of the orexin system in sleep disturbance and circadian rhythms of stress that impact OUD recovery.

The Family School Partnership (FSP) and classroom-centered (CC) interventions targeted aggressive-coercive behavior and poor academic achievement as antecedents of the distal outcomes of antisocial behavior, substance abuse/dependence, psychiatric symptoms/disorders, high-risk sexual behavior and successful adaptation to the relevant developmental demands of the educational, work, romantic relationships and family (both family of procreation and origin/orientation) social fields/contexts. The participants of the FSP and CC original prevention trial were a population (n = 798) of urban, predominately African-American young adults, who began first grade in the fall of 1993 in nine elementary schools in predominantly low- to lower-middle-income Baltimore areas. The central purpose of the proposed study is to extend through ages 31-35 an examination of normal and pathogenic development and the impact of these two universal first-grade preventive interventions on the distal targets mentioned above. We will continue to study the role of phenotypic and genetic factors (and their interactions) as well as the impact of the interventions on the development and course of substance use/abuse/dependence, psychiatric symptoms/disorders, antisocial behavior/disorder and high-risk sexual behavior through young adulthood. The knowledge accrued over the course of the proposed assessments should serve to inform the nature, targets and timing of our future preventive intervention efforts.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

Effective treatment for OUD has been shown to improve patient outcomes and reduce health care costs; however, evidence of this effect in primary care settings is severely limited. The health economic findings from this study will supplement the parent PROUD trial’s results regarding clinical effectiveness and implementation outcomes and provide critical contextual information for health systems and other health care stakeholders. The study will evaluate the economic viability of the PROUD collaborative care model for OUD—that is, from the perspective of the health care sector, to what extent do the downstream cost savings associated with improved patient outcomes offset the additional costs of the PROUD intervention? The specific aims are to (1) estimate the start-up and ongoing management costs of the PROUD intervention, (2) assess costs associated with health care utilization for patients who receive primary care treatment in PROUD and usual care clinics and have been identified with recognized OUDs before clinic randomization, and (3) estimate the economic value of the PROUD intervention, measured as net monetary benefit (NMB, incremental benefit minus incremental cost), from the health care sector perspective.

Mortality and morbidity related to suicidal behavior and opioid use disorder (OUD) have increased significantly over the past decade. These two public health crises are intertwined at multiple levels. Medications for OUD, especially buprenorphine, have been shown to decrease opioid use and reduce the multiple negative consequences of OUD, including fatal and nonfatal overdose, criminal justice involvement, infectious complications, and misuse of other substances. In addition, small randomized trials of buprenorphine treatment in treatment-resistant depression (with or without co-occurring OUD) suggest that buprenorphine reduces depressive symptoms and suicidal ideation. This large study will evaluate the effects of starting buprenorphine treatment on self-harm and suicide attempt among people with opioid use disorder, including those with and without co-occurring mental health conditions or other known risk factors for suicidal behavior. Comprehensive health records data from four large health systems serving a combined member/patient population of approximately 11 million will be examined for the overall effect of buprenorphine treatment on subsequent self-harm or suicide attempt, including differences in effects between patient subgroups and specificity of effects to buprenorphine vs other medications.

Very little research has been conducted on better understanding of phenotypic characterization of individuals with OUD (beyond DSM-5 diagnoses) and how these features predict illness severity, treatment retention or outcomes. The primary objective of the deep phenotyping study is to provide a comprehensive phenotypic characterization (e.g., domains of negative affect, reward salience, cognitive control, mental health) of a heterogeneous sample of individuals (n = 1,000) who currently meet one or more DSM-5 diagnostic criteria for OUD and are in treatment for OUD. In a subset of this sample (n = 100), the investigators conduct digital phenotyping to examine the utility of ecological momentary assessment (EMA), digital sensing and social media to predict retention, medication adherence and opioid use outcomes in patients receiving buprenorphine for OUD. It is anticipated that this foundational study will inform the feasibility and utility of such assessments that can be successfully embedded into imminent and future CTN and other OUD clinical trials.

Effective treatment for OUD has been shown to improve patient outcomes and reduce health care costs; however, evidence of this effect in primary care settings is severely limited. The health economic findings from this study will supplement the parent PROUD trial’s results regarding clinical effectiveness and implementation outcomes and provide critical contextual information for health systems and other health care stakeholders. The study will evaluate the economic viability of the PROUD collaborative care model for OUD—that is, from the perspective of the health care sector, to what extent do the downstream cost savings associated with improved patient outcomes offset the additional costs of the PROUD intervention? The specific aims are to (1) estimate the start-up and ongoing management costs of the PROUD intervention, (2) assess costs associated with health care utilization for patients who receive primary care treatment in PROUD and usual care clinics and have been identified with recognized OUDs before clinic randomization, and (3) estimate the economic value of the PROUD intervention, measured as net monetary benefit (NMB, incremental benefit minus incremental cost), from the health care sector perspective.

Kinoxis has developed a novel small-molecule lead, KNX100, that reduces the severity of opioid withdrawal symptoms in preclinical animal models of opioid use disorder (OUD). KNX100 was discovered from a phenotypic screen of compounds derived from a fragment-based drug discovery program targeting the brain oxytocin system. KNX100 has a favorable pharmacokinetic and safety profile and has undergone testing for efficacy signals in two rodents and two non-human primate species. The proposed activity is to progress the development of KNX100 to treat opioid withdrawal in OUD. The overall objective of the project is to establish the safety and tolerability of KNX100 to enable human efficacy testing to commence in patients requiring treatment for opioid withdrawal. The long-term objective for this development program is to generate human efficacy data to support KNX100 as a potential treatment for opioid withdrawal symptoms and ultimately enable a New Drug Application to the FDA.

Chronic pain affects more than 100 million adults in the United States, resulting in disability, loss of work productivity, and overall reductions in health, making chronic pain a major public health problem with an economic burden estimated at $560–635 billion annually. Opioids, the most frequently prescribed class of drugs to control pain, lack evidence supporting their long-term efficacy and carry a 15% to 26% risk of misuse and abuse among pain patients. Guided imagery (GI) is an effective non-pharmacological intervention for reducing pain, but its effectiveness is limited by patients’ imaging abilities. This project will develop and assess the feasibility of an at-home virtual reality system, Limbix VR Kit, to reduce chronic pain and opioid reliance, as well as improve other functional outcomes, by delivering an immersive GI experience.

Buprenorphine (BUP) is an FDA-approved medication-assisted therapy (MAT) that improves outcomes and saves lives in patients with opioid use disorder (OUD). It is available in multiple dosage forms and routes of administration, including daily sublingual (SL) and buccal tablets and films, a monthly subcutaneous (SC) injectable, and a 6-month SC implant; however, these forms leave many patients untreated or undertreated. This product, in a partnership with Lyndra Therapeutics, aims to develop a once-weekly oral BUP dosage form for maintenance therapy for OUD, using a new oral dosage formulation developed by Lyndra. A long-acting oral BUP may address important limitations of current MATs by providing improved PK with less euphoria than SL, a patient- and provider-preferred route of administration, and an optimal dosing interval for improved patient adherence with the potential for cost-effective direct observed therapy.

This study will challenge current clinical approaches to managing the pregnant woman with opioid use disorder. Dosing of buprenorphine (BUP) in pregnant women is based on studies in non-pregnant subjects, which suggests that symptoms of withdrawal occur when plasma BUP concentrations are < 1ng/ml. No such data exist for pregnant women, but this is a prerequisite for defining an appropriate dosing regimen of BUP in pregnant women. We will define this threshold by monitoring women undergoing mild, medically directed withdrawal. The Clinical Opioid Withdrawal Scale score and the Finnegan score for NAS are key to defining when withdrawal occurs and thus dictate treatment in mother and baby. Neither scoring system is based on plasma BUP concentrations and thus, may not reflect true opioid withdrawal. This proposal aims to develop physiologic-based scoring systems that refine the accuracy of diagnosis and optimize treatment.

Patients choosing treatment with medications for opioid use disorder as part of their recovery pathway often have difficulties staying on these medications for extended periods of time. Currently, no established evidence-based interventions are available to help. This project will leverage the impact of two widely used recovery support services: peer recovery support services and recovery housing. Delivered by community-based peers with lived recovery experience, the intervention will include assertive outreach, which encourages people in recovery between episodes of care to continue treatment and return to care after treatment dropout and/or resumed opioid use. This research will also examine whether these services can enhance benefits offered by the supportive recovery housing living environment.