15 Clinical Trials for Various Conditions
This research is being done to find out if liraglutide (brand name is Saxenda®) can safely and effectively reduce craving for opioids in patients with opioid use disorder, a primary factor contributing to early relapse.
This is a randomized trial of two group-based models of care for buprenorphine/naloxone (bup/nx) patients in Substance Use (SU) specialty treatment: Standard Medical Management (SMM) and Intensive Outpatient Treatment (IOT). The setting is a large outpatient SU treatment program, where a medical management model of care has not been empirically tested with bup/nx patients, and where a high prevalence of patients with co-occurring psychiatric and medical co-morbidities are treated. SSM includes brief weekly group-based visits consistent with previously studied medical models, and is drawn from primary care bup/nx research. IOT is a predominant model of care in specialty treatment, and incorporates psychosocial support, 12-step, educational and relapse-prevention based approaches. The investigators will recruit 300 adult patients inducted onto bup/nx, randomize them to either SMM or IOT, and conduct telephone follow-up interviews at 6 and 12 months. Study investigators will examine the impact of these treatment approaches on 90-day bup/nx adherence, opioid and SU abstinence, quality of life, and health care and societal costs. Further, investigators will examine whether the effect of IOT versus SMM on adherence and SU treatment outcomes is greater for those with medical or psychiatric co-morbidities. This innovative approach includes a focus on complex patients with psychiatric and medical co-morbidities in specialty care, adapting a care model previously only tested in primary care, a 12-month follow-up, no research-forced medication taper, an examination of health care and societal costs, and a combination of patient self-report and electronic medical record data. Through this approach, the proposed study will yield critically important findings on how best to treat complex prescription opioid dependent patients with an integrative behavioral services and medication treatment model in SU treatment.
The goal of this clinical trial is to learn if/how an AI chatbot can support patients who in recovery for substance use, specifically those who are receiving medication for opioid use disorder. Can the chatbot help lower drug use? Can the chatbot help improve clinical appointment adherence? Can the chatbot help patients build self-efficacy in leading their own recovery journey? Will the chatbot help reduce workload burden for primary care teams? Can the chatbot serve as a safe, useful and engaging tool to support patients? Researchers will investigate the effects of using a chatbot to support follow-up care for patients in opioid use recovery. Participants will: * Receive access to a chatbot for 12 weeks that they can use to prepare for upcoming clinical appointments, find community resources, learn about urge-surfing and wellness techniques, and query for assistance with other recovery-related information and tasks * Complete surveys and provide user feedback
This study will test the effectiveness, implementation outcomes, and cost effectiveness of a community-tailored, harm reduction kiosk in reducing HIV, hepatitis C, and overdose risk behavior in rural Appalachia. The proposed project will take place in two counties in Appalachian Kentucky, an epicenter for the intertwined national crises of injection drug use, overdoses, and hepatitis C.
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.
This study will utilize mixed methods to develop and assess the feasibility and acceptability of a health educator intervention designed to connect patients in recovery from substance use disorder to reproductive health education and services.
Northern New England has among the highest rates of opioid dependence in the U.S, with prevalence highest and growing among those of between the ages of 18-35 years. This region also has among the highest rates of opioid-related deaths in the U.S., with a disproportionate high rate among pregnant women with opioid use disorder. In northern New England (Maine, New Hampshire, \& Vermont), 5-8% of newborns have mothers with an opioid use disorder (OUD), greatly increasing the risk of poor outcomes, including preterm birth and long hospitalization for neonatal withdrawal and other newborn complications. For pregnant women with OUD, medication assisted treatment (MAT) significantly reduces these risks. However, it is sometimes difficult for pregnant women to find MAT providers. As a result, many maternity care providers have begun to prescribe MAT in their own practices. Other practices have maintained the longstanding evidence-based standard of care, referral of patients with OUD to specialty MAT treatment program. Most pregnant women with OUD have other psychosocial needs, ranging from lack of housing and untreated mental health conditions, to need for parenting education and support. There is variability among practices in terms of types of other services provided to patients, whether the practice has integrated MAT or relies on referral. Although pregnancy is a time when women are highly motivated to start MAT, many women are also likely to discontinue MAT postpartum due to loss of insurance coverage, difficulty transitioning to another provider, loss of motivation for treatment, or competing demands on time and resources as a new parent. The challenge for patients, providers, and other stakeholders is to understand the relative advantage of the two MAT models (receiving MAT as part of maternity care or at a specialty program) for improving key outcomes for baby \& mother. A second challenge is to understand the relative contributions of onsite services such as mental health care, care coordination, \& parenting education to improved outcomes. This question is important to patients \& families who may have a choice of where they receive their maternity care. It is even more important in rural areas, such as northern New England, where obstetric practices \& specialty care services are limited. Patients, providers \& other stakeholders need guidance in choosing the optimal models for building new programs to provide maternity care for women with OUD.
The RECOVER Study will examine clinical, environmental and socioeconomic factors in recovery from opioid use disorder (OUD) over a 24-month period following exit from a Phase III clinical program for a buprenorphine extended-release injection (RBP-6000). The study population will consist of participants from studies NCT02357901 (RB-US-13-0001) and NCT02510014 (RB-US-13-0003). The RECOVER study will characterize OUD subjects' recovery process as they transition from the controlled clinical trial environment to the real world setting.
This current study is intended to be completed under the umbrella of the current GHUCCTS IRB- approved study "Opioid-Induced Hyperalgesia In Prescription Opioid Abusers: Effects of Pregabalin" (Lyrica study) (PRO00000669). In this proposed study, 10 healthy male, 10 healthy female participants and 5 male, 5 female OIH participants (from the parent Lyrica study), who are prescription opioid abusers with chronic pain currently taking Suboxone, will be asked to take the cold pressor test at 1, 5, and 9 degrees Celsius and to report the time at which pain has completely gone away following each test. The purpose of this study is to examine how the water temperature of the cold pressure test might affect the participants' response (i.e., the participants pain threshold and pain tolerance) and to see if there is a difference in how each participation group is affected.
The primary purpose of this study is to determine whether buprenorphine and metabolite exposure (reflected as the dose-adjusted plasma concentration x time curve \[AUC\]) differs during pregnancy and between pregnancy and the postpartum state.The study will define the pharmacokinetics of buprenorphine and determine if there is a better way to gauge dosing based on objective, physiological parameters of satiety. The study will define neonatal exposure to buprenorphine through breast milk.
In a small, well-characterized sample of prescription opioid abusers (POAs) with chronic pain and on buprenorphine therapy, this study will investigate the utility and feasibility of two novel tracer compounds, and in combination with a standard marker (riboflavin), to monitor adherence to study drug prescription in the parent clinical trial.
Managing pain in patients who abuse prescription opioids presents many challenges, including the development of opioid-induced hyperalgesia (OIH). Hyperalgesia is a condition in which something that usually feels slightly painful is perceived as something very painful. The proposed study will test the efficacy of the well-known neurological medication pregabalin to diminish OIH and chronic pain in persons who are in Suboxone (buprenorphine) or methadone treatment for prescription drug abuse.
This study is a pharmacodynamic study in pregnant women evaluating the relationship between buprenorphine concentration and outcome such as opioid withdrawal symptoms , NAS scores, neurodevelopmental and neuroanatomic outcomes. Strategies to reduce opioid exposure will be explored. There are 4 specific aims but only specific aim 4 is a clinical trial and reported here. In specific aim 4, eligible consenting women on buprenorphine in an MAT clinic will be assigned to 2 dose reduction regimens and their response to dose reduction will be measured using a visual analog scale.
Background: - The treatment of addiction often hinges on preventing relapse into drug-using behaviors, which occurs at high rates even after prolonged abstinence. Some methadone patients continue to abuse cocaine and heroin during treatment, even with extensive psychosocial services. More research is needed to look at the results from earlier studies of continued drug use during methadone treatment, focusing on the results of fixed vs. flexible doses of methadone to reduce the likelihood of continued drug use and the role of monetary vouchers as an incentive to continue abstinence from illicit substances. Objectives: - To determine if the combination of flexible methadone dosing and voucher-based contingency management can improve rates of abstinence from heroin and cocaine. Eligibility: - Individuals between 18 and 65 years of age or older who are dependent on opioids (cocaine and/or heroin). Design: * The study will last 40 weeks. After the initial screening, participants will receive daily methadone and weekly drug counseling sessions that will continue throughout the study. * After 6 weeks of methadone treatment, participants who continue to use heroin and cocaine will be randomized to one of four groups for 16 weeks of study. Each group will receive a flexible or fixed dose of methadone, and one of two contingency management conditions. * Flexible-dose participants will receive individualized dose increases, based on drug use and withdrawal. Fixed-dose participants will be set at a specific dose of methadone that will not be changed. * The two contingency management conditions will be monetary vouchers given for regular cocaine-negative urine samples, or vouchers independent of urine cocaine screen results. * After the study phase, participants will have 10 weeks of standard individual counseling and stable doses of methadone. Urine samples will continue to be collected, but no vouchers will be given. * At the end of the study, participants will have the choice of transferring to a community clinic or undergoing a 10-week taper from methadone.
This study uses an artificial intelligence platform to automatically confirm medication ingestion. The Health Insurance Portability and Accountability Act (HIPAA)-compliant platform can be downloaded as an 'app' onto any smartphone to automate directly observed therapy (Automated DOT®). Real-time patient adherence data are encrypted and automatically sent to a centralized web-based dashboard for use by healthcare professionals or research staff. Unlike Facetime® or Skype®, the system relies on computer vision algorithms to confirm the process of medication administration; no human review is necessary. The purpose of this study is to evaluate the feasibility and acceptability, and measure the accuracy, of the AiCure platform ("platform") in patients being treated for opioid dependence with Zubsolv® over the course of 12 weeks. The following aims will be tested: 1) to assess the feasibility and acceptability to both participants and study staff in using AiCure to monitor medication adherence; 2) to evaluate the acceptability of using AiCure to optimize care pathways; and 3) to measure the reliability and validity of AiCure in detecting interruptions in treatment. To assess feasibility and acceptability of the platform, we will measure rates of physician satisfaction and user acceptance. Optimization of care pathways will be measured by assessing the sustainability of AiCure use over 12 weeks (retention rates) and measuring illicit opioid use (urine drug screens) compared to historical data. Reliability and validity of AiCure will be measured by comparing AiCure adherence against pharmacokinetic data. All participants will be requested to take each of their prescribed doses using the app. Participants will be able to download the app onto their own smartphone or will be provisioned a device at the start of the study. The data captured during the medication ingestion process will be automatically encrypted and stored on the participant smartphone and uploaded wirelessly to a cloud-based dashboard. If a participant is non-adherent (missed dose, incorrect dosage) or if suspicious behavior is detected, an automated alert will be sent to study staff via email or SMS to prompt immediate intervention. In addition, all participants will receive treatment as usual.