Funded Projects

Using a meta-analytic approach, this study analyzes existing data sets of individuals with drug use disorders to determine the impact of drug-focused 12-step mutual help groups, free of selection bias, in reducing opioid consumption and opioid-related problems.These data will be used to predict how augmentation of 12-step mutual help groups, added to medications for opioid use disorder (MOUD), may be used to improve retention in OUD treatment.

Opioid use disorders (OUDs) in pregnancy are a U.S. public health crisis; the current standard of care is treatment with an opioid agonist such as buprenorphine (BPH), which has an associated risk for neonatal abstinence syndrome (NAS) and possible long-term neurodevelopmental consequences. As a novel treatment option for OUD in pregnancy, naltrexone would not expose the developing fetus to opioids, greatly reducing the risk for NAS and potentially improving maternal and infant outcomes. This study will evaluate the safety, efficacy, pharmacokinetics, and pharmacogenomics of naltrexone for pregnant women with OUDs, evaluating comprehensive mother-infant outcomes throughout the pregnancy and first year after birth. It will enroll 50 pregnant women stabilized pre-pregnancy on extended-release naltrexone (XR-NTX) and 50 comparison women on BPH from Boston Medical Center and the University of North Carolina in this multi-center prospective comparative cohort study.

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.

Morbidity and mortality related to prescription opioids are accelerating in the United States. Identifying the factors that lead to new opioid dependence among opioid naïve patients is a critical opportunity to reduce prescription opioid dependence and unintended diversion. In the United States, the majority of individuals who become opioid dependent receive their first opioid prescription following surgical procedures, yet there are no clinical guidelines to inform appropriate postoperative opioid use. We will examine the patient factors that are associated with postoperative pain and opioid consumption among a cohort of patients undergoing common elective abdominal procedures. We will identify the provider characteristics in postoperative opioid prescribing practices, and design and implement a provider-directed intervention to optimize postoperative opioid prescribing. Findings will inform patients and providers regarding the risk of opioid dependence following surgery, and will establish a patient-centered data infrastructure that yields continuous feedback to providers regarding appropriate opioid prescribing practices.

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.

Adolescents and young adults in justice settings (AYAJS) have some of the highest rates of opioid use disorder (OUD), with national rates approaching 20%. Multiple studies have established effectiveness of the Adolescent Community Reinforcement Approach with Assertive Continuing Care (ACRA/ACC) in reducing non-opioid substance use disorder (SUD); however, none have evaluated it as an OUD prevention strategy. SUD is common and costly among AYAJS; thus, ACRA/ACC-based approaches are likely to be effective and cost-beneficial OUD prevention strategies for this group. However, the optimal intensity of an ACRA/ACC-based OUD prevention intervention for AYAJS with and without non-opioid SUD is not known, as these groups are likely to have differing prevention needs. Seattle Children’s Hospital (SCH), University of Washington (UW), and Washington State Juvenile Rehabilitation (WSJR) will collaboratively evaluate ACRA/ACC-based OUD prevention strategies of different intensity levels among SUD and non-SUD youth.

Hospital inpatient stays due to opioid-related health problems are a reachable moment for increasing access to treatment with medications for opioid use disorder (MOUD). Hospitalized patients with opioid use disorder (OUD) are at particularly high risk for morbidity, mortality, and high medical costs in the U.S. This study will substantially inform the care management of OUD in hospitalized patients. The project includes a comparative effectiveness research trial and an implementation research trial, which will lead to models of broad dissemination for treatment approaches to this largely unaddressed population. They will examine whether (1) in hospitals with addiction medicine consultation services, hospital-initiated extended-release buprenorphine (XR-BUP), compared with other OUD medications, results in increased engagement in treatment with MOUD following hospital discharge and (2) training hospitals without such consultation services on best practices for initiating MOUD using consultation service hubs improves medication uptake in hospitals and increased MOUD treatment engagement following discharge.

The ACT NOW Eat, Sleep, Console (ESC) Clinical Trial approach to the management of neonatal opioid withdrawal syndrome (NOWS) emphasizes parental involvement, simplifies the assessment of infants with NOWS and focuses interventions on non-pharmacologic therapies. Although outcomes following implementation of the ESC care approach, inclusive of the ESC Care Tool, appear promising and initial accounts suggest that it is safe, there has yet to be a rigorous randomized clinical trial to demonstrate the safety, efficacy and generalizability of its use in the care of infants with NOWS. The ESC Clinical Trial leverages the infrastructure and collaborations of the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network and the IDeA States Pediatric Clinical Trials Network to reach the populations most affected by the opioid epidemic. The trial will provide answers to numerous critical gaps in our knowledge with respect to the best practices for the identification and management of infants with NOWS, as well as our understanding of the outcomes of these infants.

The increased risk of maternal, obstetric, and newborn morbidity and mortality associated with perinatal prescription opioid (PO) misuse and opioid use disorder (OUD) is well established. Despite clear advances in maternal, fetal, and newborn health with treatment of perinatal opioid misuse and OUD, much work remains. Preliminary data has demonstrated significant reductions in opioid misuse as a result of our Cognitive Behavioral Therapy (CBT) program for pain combined with shared decision making for medication management for pregnant women misusing POs or with OUD (including heroin). However, access to the program is still limited and several obstacles to its expansion remain. This proposal will fill this critical gap by converting their CBT intervention from in-person sessions to a web-based interface. The proposed research will result in a critical advance in the management of opioid use and abuse during pregnancy and prevent both the acute and long-term risks associated with pre- and perinatal PO misuse and OUD, including overdose and death.

Opioids have been found to be ineffective for chronic lower back pain (CLBP), yet they are still commonly prescribed. TAMADÉ, LLC aims to leverage a novel and validated technology based on virtual reality (VR) to provide therapy to CLBP patients on a daily opioid dosage with an opioid-sparing pain management tool aiming to increase pain management efficacy and decrease health complications. The intervention uses VR to stimulate patients’ visual, auditory, and haptic fields in order to simultaneously distract and actively engage patients in biofeedback therapy, where patients consciously self-regulate their nervous system by paring down their sympathetic tone through exercises in controlling respiration and heart rate. The study will compare patients receiving the proposed VR-based intervention with a group receiving either just opioids or opioids with sham VR. All groups will receive the same opioid tapering guidelines.

The first ten years of life are accompanied by rapid changes to the developing brain and cognitive abilities. Complex interacting factors including genetics, early-life exposure to substances, family and social interactions, and home and community environments can affect brain and cognitive development. Three linked projects aim to develop effective research protocols to lay a foundation for a future HEALthy Brain and Cognitive Development (HBCD) birth cohort study. Project 1 will develop protocols for recruitment and retention of a diverse sample of pregnant and postpartum women with oversampling of mothers with prenatal opioid use. Project 2 will identify ethical, legal, and regulatory challenges for investigations in this vulnerable population and define effective solutions to enable recruitment and study of these participants. Project 3 will develop and evaluate protocols for acquiring high-quality, quantitative neuroimaging measures with magnetic resonance imaging and functional near infrared spectroscopy and assess effective strategies for measuring cognitive performance in young children, including those exposed to opioids.

A persistent problem in the dissemination of medications for opioid use disorder (MOUD) is patient dropout, and matching patients to suitable medication early has the potential to minimize dropout. The overall objective of this secondary data analysis study is to develop and disseminate individual level risk prediction models using harmonized data collected from three multi-site clinical trials from the CTN, in order to predict specific clinical outcomes (e.g., dropout, relapse) for patients treated with MOUD, including methadone, buprenorphine or extended-release depot naltrexone. The relative importance of predictors in the best predictive models will be estimated, which may facilitate refinement of common data elements for future OUD studies. The comprehensive, harmonized database of treatment data created in this study can be used for future secondary data analysis studies and will provide a replicable data pipeline to process and validate OUD data in future protocols.