Funded Projects

This study will (1) test pharmacologic and behavioral strategies to improve OUD pharmacotherapy treatment retention and to improve outcomes among patients who have been successfully stabilized on OUD medications and want to stop medication and (2) identify predictors of successful outcome and develop a stage model of relapse risk.

This study will (1) test pharmacologic and behavioral strategies to improve OUD pharmacotherapy treatment retention and to improve outcomes among patients who have been successfully stabilized on OUD medications and want to stop medication and (2) identify predictors of successful outcome and develop a stage model of relapse risk.

This study will (1) test pharmacologic and behavioral strategies to improve OUD pharmacotherapy treatment retention and to improve outcomes among patients who have been successfully stabilized on OUD medications and want to stop medication and (2) identify predictors of successful outcome and develop a stage model of relapse risk.

Social determinants of heath may affect breast cancer diagnosis and disease staging at time of mastectomy. It is unclear if socioeconomic factors such as annual income, marital status/single parent household, number of children, distance from the hospital, and other life stressors facing individuals from under-resourced populations affect development of postmastectomy pain syndrome or response to the drug ketamine. This research will analyze these factors toward mitigating post-mastectomy pain. This analysis will also serve as the basis for further research to define pathways that minimize health disparities plays in the development of chronic, post-surgical pain. The ultimate goal of this research is to normalize risk for chronic pain after breast surgery.

Optogenetics is a method of controlling nerve or brain activity using light-sensitive cell receptors (opsins). Optogenetics has been used in brain research for decades, allowing researchers to understand the brain and its associated disorders by selectively turning on and off specific nerve cells. This project will develop and refine use of an opsin and a light-stimulation device to control nerve cells contributing to the sensation of pain. 

Inhaled nitrous oxide, N₂O, is used in emergency departments in Europe to treat pain associated with sickle cell disease as well as for labor, painful fractures, and to manage serious gynecological pain. It is not a viable therapeutic option for home use for reasons such as poor dosing control, potential inhalation equipment issues, and variability in patient ventilation and lung absorption. This project seeks to optimize, characterize, and develop an oral formulation of N₂O that could be used by patients at home for unpredictable and severe episodes of pain associated sickle cell disease. Once developed, the new oral formulation of N₂O will be evaluated to determine whether it or an optimized version is ready for more clinical testing.

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.

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.

The Pain Management Collaboratory Coordinating Center (PMC3) will 1) provide national leadership and technical expertise in all aspects of research supporting the design and execution of high-impact demonstration projects that conduct cost-effective, large-scale, pragmatic clinical trials on non- pharmacological approaches for pain management and other comorbid conditions in veteran or military health care systems and 2) make data, tools, best practices, and resources from these and other projects available to facilitate research partnerships in VA and DoD health systems. The aims are to: 1) develop, adapt, and adopt technical policy guidelines and best practices for the effective design and conduct of pragmatic trials; 2) work collaboratively with and provide operational, technical, design, and other support to demonstration project teams to develop, initiate, and implement a research protocol; and 3) disseminate NIH–DoD–VA Pain Management Collaboratory–endorsed policies and best practices and lessons learned within military and veteran health care systems.

The Pain Reduction and Opioid Medication Safety in ESRD (PROMISE) study aims to improve the safety of opioid use and pain management in end-stage renal disease (ESRD) patients on hemodialysis (HD) using a Type I effectiveness-implementation hybrid design. A multisite randomized controlled trial of HD patients from the Hemodialysis Opioid Prescription Effort (HOPE) Consortium will examine the effectiveness of two separate nine-month evidence-based interventions: 1) Opioid Tapering Management (OTM) and 2) Behavioral Pain Management (BPM). We will examine the effectiveness of OTM (versus no OTM, Aim 1) and BPM (versus no BPM) over nine months for reducing opioid use (primary outcome) and improving pain severity (secondary outcome) in HD patients on chronic opioids. The implementation goal will take advantage of the diverse patient, provider, and organizational settings in the HOPE Consortium to evaluate process outcomes.

In this study, 600 to 700 hemodialysis patients receiving chronic opioids will be randomized across the Hemodialysis Opioid Prescription Effort (HOPE) Consortium to enhanced treatment as usual, buprenorphine therapy, or buprenorphine plus mindfulness-based cognitive therapy intervention delivered by telephone and adapted for pain (MBCT-TP). The following specific aims will be assessed: Aim 1—to assess the effectiveness of buprenorphine in reducing chronic opioid use and prescriptions in hemodialysis patients on opioids at baseline, compared with an enhanced treatment as usual intervention and to assess the effectiveness of buprenorphine in improving pain intensity, quality of life measures, and hospitalizations; Aim 2—to assess the incremental effectiveness of MBCT-TP added to buprenorphine compared with buprenorphine alone on pain interference with physical, social, and mental functioning, opioid use, pain intensity, other quality of life measures, hospitalizations, and mortality.