Funded Projects

NOFO Number:
Summary:

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.

NOFO Title: Development of Vaccines for the Treatment of Opioid Use Disorder
NOFO Number: BAA-DAIT-75N93019R00009
Summary:

High rates of relapse and overdose deaths pose significant challenges to the treatment of Opioid Use Disorder (OUD). Anti-opioid immunotherapies (i.e., vaccines and monoclonal antibodies) have great potential to reduce long-term opioid use and overdose, with minimal risk of side effects, when used in conjunction with pharmacological treatments and/or behavioral therapies. The ability of an anti-opioid vaccine to induce antibodies that render an opioid less effective, or less rewarding, and protect from accidental overdose could provide an important therapeutic option for patients undergoing treatment for OUD. The goal of this collaborative study is to design, develop, and evaluate vaccines for use in the treatment of opioid use disorder

NOFO Title: Emergency Awards: HEAL Initiative- New Innovator Award (DP2 Clinical Trial Not Allowed)
NOFO Number: RFA-TR-22-013
Summary:

Acute and chronic pain vary widely across patients, due in large part to genetic differences between individuals. The same variation occurs in preclinical animal models with diverse genetic backgrounds. The development of automated mouse “pain scales” using high-speed videography, machine learning, and custom software allows pain to be assessed in a quantitative manner in nonverbal animals. This technology will be used to identify genetically different mice with high or low pain sensitivity, which will facilitate the development of new therapeutic strategies to treat pain and reduce reliance on opioids.

NOFO Title: Mentored Research Scientist Development Award (Parent K01)
NOFO Number: PA-16-190
Summary:

Quality implementation of evidence-based programs (EBPs) in community settings for youth is critical for reducing the burden of alcohol, tobacco and other drug (ATOD) use and its consequences. EBPs delivered in schools are an efficient way to reach large populations of young people, including those underserved by other settings, and reduce and prevent ATOD use. Yet youth rarely receive EBPs as intended in community settings, including schools. This training and research plan will prepare the investigator to become an independent scholar in the implementation of theories and frameworks to better understand factors related to program delivery—approaches to enhancing ATOD programs for youth in community settings. More specifically, the training will allow him to expand the application of Consolidated Framework for Implementation Research (CFIR) to inform approaches to enhancing effective EBP delivery. The proposed training and research plan extends current implementation research to focus applying implementation theories, frameworks and strategies in other community settings (schools) and on economic evaluation of implementation strategies. The results are expected to improve current efforts to deliver EBPs in diverse community settings and aid in applying evidence-based implementation strategies in the school context to ultimately reduce and prevent ATOD use among youth.

NOFO Title: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K01 - Clinical Trial Required) 
NOFO Number: PAS-22-206
Summary:

Many people with opioid use disorder (OUD) also have a serious mental illness and other chronic conditions, which can be difficult for individuals and primary care providers to manage. A chronic disease self-management program is an established health care model in which peers help to educate patients about their condition(s) and build problem-solving skills to manage their health. Such programs have been effective in other populations and settings, but they have not been adapted for primary care patients who have OUD and SMI. This project will adapt and test a chronic disease self-management program for this population to understand its feasibility, acceptability, impact, and how best to put such programs into place widely in primary care settings.

NOFO Title: HEAL Initiative: Career Development Awards in Implementation Science for Substance Use Prevention and Treatment (K23 - Clinical Trial Required)
NOFO Number: PAS-22-207
Summary:

This project provides protected time for training and research activities that are required for an independent scientific career in delivering evidence-based treatments for people with opioid use disorder. The increasing presence of fentanyl in the drug supply creates challenges for the use of buprenorphine, because both patients and physicians want to avoid causing withdrawal. This research will interview both patients and physicians to understand their concerns and experiences and work with them to develop a buprenorphine induction toolkit to help balance the advantages of buprenorphine treatment against concerns about the potential presence of unknown fentanyl. 

NOFO Title: Midcareer Investigator Award in Patient-Oriented Research (Parent K24 Independent Clinical Trial Required)
NOFO Number: PA-20-193
Summary:

The HEAL-funded Sequenced-strategy for Improving Outcomes in People with Knee Osteoarthritis Pain (SKOAP) clinical trial evaluates behavioral, pharmacologic, and procedural interventions for patients with knee osteoarthritis pain. It is designed to mimic clinical care for these patients by first testing the effectiveness of conservative and nonsurgical interventions before considering surgical interventions. It is a large-scale clinical trial with a novel design that evaluates multidisciplinary treatments. Therefore, it offers a unique training opportunity for junior investigators from various disciplines who are interested in pain research and management. This mentoring award will allow a selected investigator to train junior investigators by providing protected, mentorship-focused time.

NOFO Title: Midcareer Investigator Award in Patient-Oriented Research (Parent K24 Independent Clinical Trial Required)
NOFO Number: PA-20-193
Summary:

Throughout clinical pain research, there is a need to increase the workforce of researchers familiar with individualized treatment strategies known as precision pain medicine. This mentoring award will leverage EPPIC-Net’s Clinical Coordinating Center resources to encourage interest in clinical pain management, in particular through multidisciplinary pain research projects. A selected clinician-researcher  will mentor early career investigators and provide them with hands-on training activities and other skill-building experiences in clinical pain research, with a focus on precision pain medicine, biomarker development, and pain assessment. Mentoring activities will include formal educational coursework, inclusion in EPPIC-Net working groups, and collaborative writing experiences.

NOFO Title: Midcareer Investigator Award in Patient-Oriented Research (Parent K24 Independent Clinical Trial Required)
NOFO Number: PA-20-193
Summary:

Enhancing the workforce of pain investigators and practitioners is a key goal of the NIH HEAL Initiative. This mentoring award leverages the resources at one of EPPIC-Net’s Specialized Clinical Centers to encourage interest in clinical pain management, in particular through multidisciplinary pain research projects. A selected investigator will train early career clinical researchers on how to develop and validate relevant pain measures and outcomes in chronic pain conditions, including chemotherapy-induced peripheral neuropathy and neuropathic chronic low back pain. Mentoring activities will include formal research and analysis, active inclusion in EPPIC-Net working groups, and collaborative writing experiences.

NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-022
Summary:

Knee osteoarthritis (OA) is a frequent cause of disability and chronic pain. Treatment often relies on analgesics like opioids to manage OA pain, with all the associated risks; other approaches to treat OA are often invasive and inaccessible to patients. Therefore, novel analgesic strategies are needed to reduce the high burden of knee OA-induced pain. This project aims to study in detail and target the sensory neurons that drive OA pain to assist in the development of more effective pain therapeutics.

NOFO Title: HEAL Initiative Advanced Postdoctoral-to-Independent Career Transition Award in PAIN and SUD Research to Promote Diversity (K99/R00 Independent Clinical Trial Not Allowed)
NOFO Number: RFA-NS-22-025
Summary:

Neuropathic pain—a debilitating form of chronic pain affecting millions of people—responds poorly to current analgesic treatment approaches. By better understanding the cellular mechanisms and compounds involved in neuropathic pain, researchers will be able to develop more targeted therapeutic approaches. This project will investigate the role that two proteins—Ly6e and Lynx1—play in various processes involved in the development of neuropathic pain, such as the activity of pain-triggering sensory neurons, interactions between neurons and immune cells, and the activity of an ion channel that has been implicated in the generation of pain signals.

NOFO Title: HEAL Initiative: EPPIC-Net Pain Research Asset Application (OT2)
NOFO Number: OTA-20-008
Summary:

People with diabetes are at risk for painful diabetic peripheral neuropathy. This pain may be experienced as burning, aching, hypersensitivity to touch, or simply as pain, and there are no currently FDA-approved medications that reduce its symptoms. This phase 2 clinical trial, through the EPPIC-NET program, will test a potential new treatment for painful diabetic peripheral neuropathy. The molecule, NRD135S.E1, is a lab-made version of a natural substance traditionally used to brew tea to treat a variety of indications, including pain, in a village in Siberia. In clinical studies, NRD135S.E1 was well tolerated by patients and showed clinically relevant pain relief. Testing within EPPIC-Net will use a master protocol, an innovative study design in which multiple treatments can be tested at the same time with fewer research participants.

NOFO Number: OTA-20-007
Summary:

The HEAL Initiative is establishing a HEAL Data Ecosystem to help investigators manage and share HEAL-generated data, and quickly and efficiently disseminate HEAL results broadly to stakeholders. The HEAL Platform, built by the University of Chicago, will enable broad sharing of HEAL data by linking data stored in various locations, annotated and curated to various extents, to one central interface where studies, data, and digital assets can be discovered and accessed via metadata query. The Platform will also provide secure workspaces so that under appropriate conditions, data can be pulled from disparate repositories and computed on in the same cloud space, using tools and analytic suites provided within. The Platform team will collaborate closely with the HEAL Data Stewardship Group (Renascence Computing Institute at the University of North Carolina Chapel Hill and RTI, International) to meet the needs and goals of the HEAL Data Ecosystem.