Funded Projects

As states make unprecedented changes to prescription opioid (PO) policies and cannabis laws, the independent and synergistic contributions that both types of measures have on opioid-prescribing practices and opioid overdoses, with and without benzodiazepines (BZDs), are not known. This study will pursue this aim in the U.S. population and Medicaid patients with chronic pain, aiming to: (1) examine whether nonmedical use of POs, BZDs, and heroin and opioid- and BZD-use disorders decreased following enactment of more restrictive PO policies and less restrictive cannabis laws in 2004–2019; and (2) test whether Medicaid patients are less likely to have claims for opioid prescribing, clinic visits for chronic pain, and opioid overdoses following enactment of more restrictive PO policies and less restrictive cannabis laws in 2001–2019. This study will provide findings about the types of policies that are most likely to end the opioid epidemic.

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.

Although there are effective prevention and treatment programs and services to address opioid misuse, opioid use disorder (OUD), and overdose, gaps remain between those needing and those receiving prevention and treatment, in part because of a need to better understand how to make these programs and services most effective at a local level. The National Institutes of Health (NIH) and the Substance Abuse and Mental Health Services Administration (SAMHSA) launched the HEALing Communities Study to generate evidence about how tools for preventing and treating opioid misuse and OUD are most effective at the local level. This multisite implementation research study will test the impact of an integrated set of evidence-based practices across health care, behavioral health, justice, and other community-based settings. The goal of the study is to reduce opioid-related overdose deaths by 40 percent over three years. Columbia University is partnering with academic institutions in three other states to study the impact of these efforts in 67 highly affected communities. The study will also look at the effectiveness of coordinated systems of care designed to increase the number of individuals receiving medication to treat OUD, increase the distribution of naloxone, and reduce high-risk opioid prescribing.

This study will examine the epidemiology of injection drug use, its infectious consequences, and service accessibility among young persons who inject drugs (PWID) in 15 rural counties in Maine, New Hampshire, and Vermont, then implement an integrated telemedicine approach to treat opioid use disorder (OUD) and reduce infections and overdose. The UG3 phase will characterize the risk environment and epidemiology of OUD, its infectious complications, opioid overdose, risk behaviors, service use, and needs in young PWID in these counties. An environmental assessment of policy and infrastructure will examine available services, needs, and gaps. The UH3 phase will evaluate the effectiveness of a regionalized integrated model of expanded service delivery for rural PWID. This project will provide in-depth understanding of high-risk rural PWID, inform community response strategies, and implement a comprehensive, integrated approach to treat OUD and reduce overdose and infectious complications among PWID in the rural United States.

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.

This project proposes to develop novel Gpr151 antagonists to facilitate long-term abstinence in opioid-dependent individuals. Gpr151 is an orphan G-protein coupled receptor that is expressed almost exclusively in the medial habenula and co-localizes with ?-opioid receptors to regulate the inhibitory effects of opioids on habenular neurons. Mice with a null mutation in Gpr151 (Gpr151-/- mice) are resistant to the stimulant and rewarding effects of opioids and self-administer lower quantities of oxycodone. Based on this preliminary work, the study will seek to identify Gpr151 antagonists through a variety of methods and optimize them for potency, selectivity, drug metabolism, pharmacokinetics, and brain penetration properties. The study will evaluate effects of those with the most favorable drug-like physiochemical properties on electrophysiological responses of medial habenula to opioid drugs and assess the in vivo efficacy of these novel antagonists in wild-type and Gpr151-/- mice.

Rapid technological advances are leading to field-deployable mobile sensing devices that can quantify complex dynamics of key physical, biological, behavioral, social, and environmental factors, enabling us to understand causation in complex disorders. Significant new investment is needed to develop and disseminate data analytics tools. The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) will generate generalizable theory, methods, tools, and software to address major barriers to processing complex mobile sensor data and its use in biomedical knowledge discovery and just-in-time care delivery. We will develop and implement a standards-based, interoperable, extensible, and open-source big data software platform for efficient implementation of MD2K data analytics. MD2K will demonstrate the feasibility, utility, and generalizability of this approach by implementing the entire MD2K data analytics system in the context of two biomedical applications: reducing relapse among abstinent daily smokers and reducing readmission among congestive heart failure patients

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.

Individuals who have been previously incarcerated have a significantly higher risk of dying from opioid overdose, particularly in the first two weeks after release. Providing medication for opioid use disorder (MOUD) to individuals on probation or parole decreases the rate of relapse and recidivism, and increases retention in substance abuse treatment. This study will test a systems-change approach for increasing use of MOUD across a network of seven probation and parole sites to improve linkage to the continuum of evidence-based care for justice-involved individuals. Implementation outcomes include program acceptability, adoption, penetration, sustainability, and costs. Client-level effectiveness outcomes include retention, satisfaction, opioid use, opioid overdoses, recidivism, linkage to OUD treatment, and utilization of recovery services. Targeting the intersection of justice and community-based care has substantial potential for addressing the opioid crisis.

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.

The opioid epidemic continues unabated in the United States, and despite the rapid expansion of this crisis, the nature of the risk factors that contribute to opioid misuse remain poorly understood compared with other substances of abuse. The goal of this project is to examine cannabis use and cannabis identification measures as risk factors for opioid misuse while also developing and evaluating novel implicit measures of opioid associations as risk factors for opioid misuse among an at-risk sample of adolescents. Findings from the proposed research are intended to improve the prediction of opioid misuse among adolescents and to potentially identify novel targets for prevention and intervention strategies that aim to combat the opioid epidemic.

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.