Funded Projects

The primary objective of this project is to de-implement the use of opioid analgesics for the management of postoperative pain following dental extractions and to implement effective alternative pain management. We propose a cluster-randomized trial designin which dental practitioners are randomly assigned to one of three conditions: 1) standard practice as a control condition; 2) a clinical decision support (CDS) tool that will extract patient history and interface with the state prescription drug monitoring program to provide personalized recommendations for analgesic prescribing and offer language for discussing non-opioid pain management; 3) an enhanced version of the CDS (CDS-E) that will also include information regarding optimal, evidence-based non-opioid pain management delivered to the patient both before and following the dental extraction visit. We will examine opioid and non-opioid prescribing data from the electronic health record across study arms as well as other provider- and patient-focused outcomes using mixed methods.

The U.S. is in the midst of a devastating opioid epidemic. Since 1999, the number of overdose (OD) deaths involving opioids has quadrupled. These trends are magnified among American Indians/Alaska Natives (AI/ANs) compared to other racial/ethnic groups. AI/ANs are second only to Whites in the rate of OD mortality (8/100,000 versus 12/100,000 deaths, respectively). Medications for opioid use disorder (OUD; i.e., methadone, buprenorphine and naltrexone) are considered the most effective treatment, reducing mortality and increasing abstinence and retention. However, numerous barriers limit the uptake of medications for OUD in tribal communities and within urban treatment settings serving AI/AN individuals. This is a two-phase formative research study to develop and test an implementation intervention for programs to provide medications to treat OUD specifically with AI/AN consumers. The objective of Phase I (12 months) is to develop a culturally centered implementation intervention to integrate medications for opioid use disorder (MOUD) into health care/addiction specialty settings. The objective of Phase II (24 months) is to conduct a preliminary test of the implementation intervention at four sites serving AI/AN communities. Community-based participatory research (CBPR) methods will be used throughout both phases. This study will help with decreasing stigma and increase the utilization of MOUD in health care settings that serve AI/AN populations.

This multi-site clinical research study will collaborate with six county jails in Illinois and medication-assisted treatment (MAT) providers to test an adapted version of an evidence-based intervention, the Recovery Management Checkups (RMC) model, which provides quarterly check-ups and assistance with treatment retention and re-linkage as indicated at the quarterly check-ups. The study will determine if tailoring the check-ups to an individual’s need for treatment leads to more efficient targeting of resources to those in need, reduces the intervention burden on those with lower need, and results in an improved overall effectiveness and cost-effectiveness of RMC.

Adolescents in the juvenile justice system demonstrate very high rates of tobacco, alcohol, and other drug use (ATOD), with rates that are estimated to be three times higher than non-justice-involved youth. Substance-abusing youth are at higher risk than nonusers for mental health problems, including depression, conduct problems, personality disorders, suicidal thoughts, attempted suicide, and completed suicide, as well as detrimental effects on neural development related to substance use. This project aims to adapt and test the feasibility and efficacy of a smartphone application (app) intervention prototype that would help adolescent substance users reduce or quit their substance use. The program, entitled Rewire, is based on the primary substance use cessation components tested in previous work with juvenile justice-involved adolescents and on intervention components shown to be central to smoking cessation, and applies a mindfulness approach as the guiding framework for the intervention.

Often (around 40 percent of the time), individuals being treated for opioid use disorder (OUD) also have pain that interferes with daily life. This study builds on the prior development of a collaborative primary care approach, entitled TOPPS (Treating Opioid Patients’ Pain and Sadness), in which behavioral health specialists and primary care providers share a unified plan for addressing pain and depression in patients receiving buprenorphine. Building in preliminary work, researchers are conducting a randomized controlled trial of TOPPS compared to a health education contact-control condition among 250 persons with OUD recruited from two primary care-based buprenorphine programs, provided over 3 months and followed over 12 months. The study will examine whether this intervention changes how much pain interferes with daily functioning, the severity of pain, depression, and whether individuals stay in OUD treatment.

Approximately 20% of patients who undergo surgery develop chronic Postsurgical Pain, which is linked with slow recovery, persistent opioid use and dependence. This project supports a scientist from a group underrepresented in biomedicine to expand ongoing research testing ketamine during and/or after surgery to prevent post-mastectomy pain syndrome. Ketamine is a low-risk treatment option that is easy to implement in a wide range of clinical settings.

Opioid overdoses result from reduced oxygen in the bloodstream. Although the opioid blocker naloxone can reverse the immediate harmful effects of opioids, it also has limitations. It does not last very long, blocks pain relief, and may induce withdrawal. This project will characterize and test the effectiveness of a novel, potent, and long-lasting respiratory stimulant. The study will use a freely behaving, large animal model with physiology similar to humans.

The Acute to Chronic Pain Signatures Program is developing a comprehensive data set that can be used to help predict which patients will recover from acute pain associated with surgery or injury and which ones will develop long-lasting chronic pain. This project will support an early career faculty member from a group underrepresented in biomedicine. The research will enhance skills development toward conducting and coordinating clinical pain research, generating omics datasets, advancing understanding of statistical methods, and other activities required for career development.