View clinical trials related to Opioid-Related Disorders.
Filter by:The proposed clinical trial would evaluate the use of smartphone applications ("apps", which have well-established efficacy in reducing cigarette and alcohol use) to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. In addition to standard app-based self-monitoring of drug use and personalized feedback, project innovation is enhanced by the proposed use of location-tracking technology for targeted, personalized intervention when participants enter self-identified areas of high risk for relapse. Furthermore, the proposed sub-study would use longitudinal functional neuroimaging to elucidate the brain-cognition relationships underlying individual differences in treatment outcomes, offering broad significance for understanding and enhancing the efficacy of this and other app-based interventions.
With over 72,000 overdose deaths in 2017, of which 47,600 are attributable to opioid overdose, the opioid epidemic has become North America's most widespread behavioral public health problem. Medication-assisted treatment (MAT) for opioid use disorder (OUD) is highly efficacious. The Opioid Addiction Recovery Support (OARS), comprised of a healthcare team portal connected to a patient mobile application, provides opioid-related education, promotes connectedness with clinicians, and tracks MAT treatment progress. This study will conduct interviews with patients that will inform optimal design of OARS, assess the efficacy of OARS in improving MAT outcomes in primary care settings, and evaluate the sustainability and return on investment. It joins an outstanding scientific team at University of California, Los Angeles and a small business that has developed, Opioid Addiction Recovery Support (OARS) -- a software platform that by integrating with the Electronic Health Record (EHR) improves clinical management of patients by primary care providers (PCPs) treating patients with OUD using MAT. OARS platform uses a dashboard to show the real-time measurement of patient achievements in recovery. It provides opportunities for patients to interact with their PCPs, allowing for better connection to and support from their PCPs. OARS platform features artificial intelligence to analyze information from the EHR and from patients to provide a relapse risk assessment for patients receiving MAT for OUD, an innovation that sets OARS apart from other software solutions. The goal of Phase 1 was to modify the OARS platform for use in primary care settings by conducting interviews with Primary Care Physicians (PCPs) (N=20) and their patients with OUD (N=40) in primary care settings to collect data on feasibility and acceptability of engaging with OARS to inform the user-centered design of OARS. The goals of Phase 2 of this study are to: (1) to assess the effectiveness of OARS in improving opioid agonist treatment outcomes across 6 treatment programs (N=200 treated patients) and (2) evaluate the sustainability and return on investment of OARS implementation across 6 treatment programs. A commercialization plan documents progress to date for the OARS platform and presents a market plan to improve both the scale and quality of MAT services delivered by PCPs in primary care, which is a major contribution to addressing the ongoing opioid epidemic.
This study will examine the effectiveness of opioid use disorder (OUD) treatment linkage strategies for patients seen at sexual health clinics. This 3-arm RCT will compare Usual Care vs. Patient Navigation vs. Patient Navigation + Buprenorphine Initiation (UC vs. PN vs. PN+BUP).
The target population is students attending high schools in small rural towns in the 14 counties that partially or fully fall within the Cherokee Nation reservation. Following recruitment of 20 school-based clusters, clusters are allocated to either the intervention condition or delayed-intervention control condition using constrained randomization. Constrained randomization helps to ensure balanced cluster sizes as well as similar levels of risk between the intervention and control at baseline. Study participants include all10th grade students enrolled in the participating study high schools and students will be followed into the first year after their expected graduation.
The focus of this study is to examine the effectiveness of imFREE relative to mHealth ED in facilitating treatment retention and adherence and reducing opioid use among adults with OUD initiating BUP treatment. There are two specific aims: (1) to test the effectiveness of imFREE, delivered in conjunction with medical management with buprenorphine (imFREE + MM), relative to mHealth ED + MM, in facilitating buprenorphine treatment retention and adherence in a population of individuals with OUD initiating MM (N=200). (2) To evaluate the cost-effectiveness of imFREE.
The purpose of this study is to determine the efficacy of using a mobile health delivery unit ("mobile unit") to deliver "one stop" integrated health services - particularly medication for opioid use disorder (MOUD) and medication for HIV treatment and prevention - to people who inject drugs (PWID) with opioid use disorder (OUD) to improve uptake and use of MOUD, and uptake and use of antiretroviral therapy (ART) or pre-exposure prophylaxis (PrEP).
This research will test the effectiveness of a prenatal provider education and training program designed to facilitate provider adoption of evidence-based practices for the treatment of OUD during pregnancy. Findings from this research will provide high quality evidence about how to increase evidence-based treatment for pregnant women with OUD and subsequent maternal-child health outcomes.
Youth involved in the juvenile justice system (YJJ) bear a disproportionate burden of the addiction crisis. YJJ substance use (SU) is extremely prevalent, with a third of YJJ meeting criteria for a substance use disorder (SUD). The investigators seek to address the national addiction crisis at its epicenter. Despite their high need for SUD services, and the proliferation of evidence-based interventions to reduce SU, YJJ are rarely connected to needed, high-quality SU care. A care cascade model highlights gaps in YJJ achieving the full continuum of SUD care (i.e., SUD risk identification, treatment referral, treatment initiation, and treatment engagement). YJJ on community supervision/probation face a unique problem accessing SUD services; while the courts or probation may identify YJJ need for SUD care, YJJ must receive care through healthcare agencies in the community. The primary goal of the project, Alliances to Disseminate Addiction Prevention and Treatment (ADAPT) is to address this and other gaps along the care cascade for YJJ. The investigators will accomplish this goal by creating alliances between the juvenile justice system (JJ) agencies and community mental health centers (CMHCs) in eight Indiana counties. ADAPT takes a two-pronged approach. First, the investigators will employ a Learning Health System (LHS) to develop collaborative alliances between JJ agencies and CMHCs, organizations that traditionally operate independently. Second, the investigators will present local Cascade data during continuous quality improvement cycles within the LHS alliances. By offering agency representatives an opportunity to view and discuss, for example, the local rate at which YJJ with SUD risk are initiating CMHC SU services, the investigators will facilitate development of tailored, local solutions to improve the Cascade for each county's YJJ. To maximize long-term sustainability of ADAPT's JJ-CMHC alliances, the investigators will conduct this research in collaboration with leaders from an existing statewide initiative, the Juvenile Detention Alternatives Initiative (JDAI). JDAI is a juvenile justice reform effort that utilizes data-driven decision-making and is implemented in almost 300 counties across the US. If this project is successful, the JDAI infrastructure and support for this research will inform sustainment and expansion across Indiana and the nation. The investigators hypothesize that ADAPT - novel LHS alliances using Cascade data to implement localized solutions to YJJ receiving evidence-based addictions care - will positively impact SU and recidivism outcomes over time. The investigators seek to complete the following specific aims: AIM 1: Implement LHS alliances between JJ agencies and CMHCs. The investigators will establish LHS alliances: novel, collaborative partnerships between JJ agencies and CMHCs. AIM 2: Generate and track local solutions to address gaps in the Cascade for YJJ in rural Indiana counties. Quantifying local Cascade data will enable JJ agencies and CMHCs to suggest and implement tailored, evidenced-based interventions, which will be tracked through LHS quality improvement cycles. AIM 3: Assess implementation outcomes and processes. We will assess implementation outcomes, such as system alliance, among JJ and CHMC personnel using mixed methods. AIM 4: Assess the impact of ADAPT. Conduct a stepped wedge cluster randomized controlled trial to assess the impact of LHS alliances on the Cascade for YJJ. We will analyze administrative data linked across JJ and health systems to assess the long-term, community-wide effects of ADAPT on public health and safety outcomes (e.g., lower rates of SU-related outcomes and criminal recidivism).
Evidence-based VA care is best for meeting Veterans' mental health needs, such as depression, PTSD and opioid use disorder, to prevent suicide or overdose. But some key evidence-based practices only reach 3-28% of patients. Participatory system dynamics (PSD) helps improve quality with existing resources, critical in mental health and all VA health care. PSD uses learning simulations to improve staff decisions, showing how goals for quality can best be achieved given local resources and constraints. This study aims to significantly increase the proportion of patients who start and complete evidence-based care, and determine the costs of using PSD for improvement. Empowering frontline staff with PSD simulation encourages safe 'virtual' prototyping of complex changes to scheduling, referrals and staffing, before translating changes to the 'real world.' This study determines if PSD increases Veteran access to the highest quality care, and if PSD better maximizes VA resources when compared against usual trial-and-error approaches to improving quality.
The purpose of this study is to compare the effectiveness of two different interventions for medication-assisted treatment (MAT) adherence: Contingency Management (CM) and Brief Motivational Interviewing + Substance Free Activities + Mindfulness (BSM).