Funded Projects

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.

Sleep and circadian rhythms are understudied risk factors for opioid use disorder (OUD) and its treatment. Opioids affect sleep quality in a way that can inhibit recovery. The two most effective medications for OUD also cause sleep problems. This project will increase understanding about underlying circadian and behavioral mechanisms, such as changes in craving and/or the ability to regulate emotions, that link poor sleep with suboptimal opioid treatment response outcomes.

Approximately 3.6 million Americans live with an amputated extremity, and the majority of these individuals are likely to suffer from chronic post-amputation pain. There is no consensus as to a recommended therapy for such pain, and many treatments do not provide sufficient pain control. Some studies have shown effective pain suppression from delivering an anesthetic agent directly to an injured nerve. This research aims to develop a device that can be implanted near the injured nerves of an amputated limb to deliver an anesthetic. Findings from this preclinical study will optimize design and delivery features to maximize its effect on pain control for as long as possible without needing a drug refill. The research is expected to advance eligibility for further testing in large animals and humans.

Chemokines (hormones of the immune system that mediate innate immune inflammation) enhance pain, reduce opioid analgesia, and promote drug-seeking behavior and addiction, giving them a central role at the crossroads of chronic pain and the opioid crisis. Blocking chemokines (rather than opioid receptors) provides an exciting treatment opportunity for both pain and opioid use disorder. This research continues previous work studying the efficacy of RAP-103, a small, orally stable chemokine receptor blocker. The previous research has shown that RAP-103 is safety and effective in preclinical models that mimic human drug-taking. This research will now optimize the dose required to achieve decreased motivation to maintain opioid use, establish manufacturing scale-up feasibility, provide RAP-103 for safety testing in animals, and conduct stability testing of RAP-103 toward the goal of submitting an Investigational New Drug application to the FDA.

Rates of neonatal abstinence syndrome have reached a staggering 6.5 per 1,000 births nationwide, creating an urgent need to identify how in-utero exposure to opioids and associated risk factors influence the developing brain. A multidisciplinary team will address these challenges in Oregon, a state particularly hard hit by the opioid epidemic. Through linking sites, the impact of the Phase I project is enhanced and will provide critical information to support a national-level effort for Phase II of the HEALthy Brain and Child Development Study. Aim 1 will develop, implement, and evaluate innovative recruitment and retention strategies for high-risk populations. Aim 2 will address anticipated challenges of the planned Phase II study by implementing and evaluating a multi-site, standardized research protocol including multimodal MRI of placenta, fetus, neonate, and 24-month-old brain; biospecimen collection; and assessment of substance use and other key domains. Aim 3 will evaluate data acquisition, processing, and statistical considerations to maximize data quality, usability, and integration across sites.

The HEALthy Brain and Child Development National Consortium (HBCD-NC) will establish a normative model of developmental trajectories over the first 10 years of life. All sites in the HBCD-NC will carry out a common research protocol and will assemble and distribute a comprehensive research dataset to the scientific community. The HBCD-NC will collect neural, behavioral, physiological, and psychological measures, as well as biospecimens, to characterize neurodevelopmental trajectories. Most participants will be recruited in the second trimester of pregnancy, with a smaller subset recruited at birth, and followed for the first 10 years of life. This study will take place at Oregon Health and Science University, giving researchers access to people in a region with very high rates of opioid misuse.

Current rates of prescription opioid misuse are rising to epidemic levels among adults. These rates may be even higher among adolescents and young adults (AYAs), who have elevated levels of substance exploration and misuse during this precise developmental period. AYAs who are exposed to opioids via legitimate prescriptions by age 18 are at increased risk for misuse after high school. However, there is a substantial gap in our knowledge of what factors might contribute to the development of misuse and related poor outcomes in these high-risk youth. Identifying factors that convey risk for increasing opioid use and problematic use would inform AYA models of opioid abuse and inform the development of preventive interventions to modify risk in medical settings, which are a unique point of entry into opioid use, and a key setting in which to examine AYA outcomes. We will use a developmental model of the impact of opioid exposure by legitimate prescription during late adolescence, with consideration for pain and psychological characteristics of the individual within the psychosocial (family, peer, educational and work context). Determining mechanisms and moderators of risk during this developmental transition will provide critical information for the design of interventions aimed at reducing opioid use disorders in at-risk AYA.

Chronic pain is a major healthcare burden. However, the types and underlying mechanisms of pain vary greatly, as do patient responses to currently available pain medications. Inflammation in the nervous system (neuroinflammation) is involved in several types of pain, and targeting key molecules involved in neuroinflammation is therefore a promising treatment approach. The chemokine receptor system, a complex network of more than 20 different receptors and more than 80 molecules that bind to these receptors, has a central role in neuroinflammation. Researchers do not yet fully understand the functioning of this network and how specific receptors vary in different chronic pain conditions. Therefore, this project aims to further characterize the expression of one specific receptor, using samples collected from participants in clinical trials evaluating a compound that interferes with the receptor’s function. This information should allow researchers to classify pain patients and identify those most likely to benefit from a treatment with compounds targeting the receptor.

Medications used to treat opioid use disorder (OUD) such as methadone and buprenorphine can cause central sleep apnea—a condition in which an individual momentarily stops breathing during sleep. This project will evaluate whether central sleep apnea, by worsening sleep quality and causing low blood oxygen levels, leads to nighttime arousal and emotional distress, which in turn increases the risk of relapse in individuals receiving treatment for OUD.

Researchers will develop a novel transcranial focused ultrasound (tFUS) device for pain treatment and establish its effectiveness for treating sickle cell disease (SCD) pain in humanized mice. The tFUS will target the specific cortical regions involved in SCD pain using a novel non-invasive electrophysiological source imaging technique. The project’s goals have several aims. Aim 1: Develop tFUS devices for pain treatment. The mouse-scale system will be designed to validate the therapeutic effect of stimulating the anticipated cortical targets. This will inform development of the simpler human-scale system, which will use models of the skull to select cost-effective transducers to reach the targets. Aim 2: Evaluate tFUS effectiveness and optimize stimulation parameters in an SCD mice model. Researchers will determine effective tFUS parameters to chronically reduce SCD pain in mice and validate this using behavioral measures. Aim 3: Use electrophysiological source imaging to target and trigger closed-loop tFUS in animal models. This aim also includes performing safety studies to prepare for human trials. The project will develop a transformative, noninvasive tFUS device to effectively and safely treat pain in SCD. 

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.

Identifying optimal chronic low back pain treatments on a patient-specific basis is an important and unresolved challenge. Tailoring interventions according to patient movement characteristics is one option. This research is characterizing patients based on spinal motion during functional tasks and daily activities and will use artificial intelligence to objectively characterize motions of the spine during both clinical assessments and day-to-day life. During clinical assessments, participants will be asked to perform functional tasks while wearing motion sensors. Data collected from the sensors will be used to identify tasks of interest, such as activities of daily living and aberrant/painful motions. An artificial intelligence approach will then interpret data collected continuously during assessment in patients’ homes over a 7-day testing period. Ultimately, this data could be used to help clinicians tailor treatments that are responsive to a patient’s real-world functional impairments.