| Literature DB >> 33964973 |
Betty Tai1, Ronald Dobbins2, Quandra Blackeney2, David Liu2, Landhing Moran2.
Abstract
Over the past two decades, the National Drug Abuse Treatment Clinical Trials Network (CTN), a program of the National Institute on Drug Abuse (NIDA), has expanded from the initial six Nodes to 16 Nodes, as a nationwide consortium of research scientists and treatment providers working together to improve care for substance use in the nation's communities. Encompassing both specialty care programs and general medical settings, the Network has become a unique resource for expertise on clinically focused research, bridging the gap between research and treatment delivery. Over 22 years, the CTN has completed 101 studies, resulting in 650 publications. In response to the opioid epidemic, a CTN task force generated a comprehensive list of research priorities in the areas of prevention, treatment, knowledge dissemination, and workforce training, to form the basis of the Network's opioid portfolio. The Network's opioid portfolio currently includes five main categories of studies: (1) large multi-site studies; (2) studies aimed at closing the treatment gap; (3) expansion of ongoing studies to improve service delivery and implementation; (4) studies to explore the use of substance use data in electronic health record systems; (5) training and dissemination projects to expand the research/health care provider workforce. With funding from the Helping to End Addiction Long-Term InitiativeSM (HEAL), the CTN established five new Nodes, which, along with the pre-existing Nodes, are distributed in every region of the nation and engage researchers and clinicians in areas that have been among the hardest hit by the opioid epidemic. Through this expanded network and its commitment to developing personalized, evidence-based treatments, the CTN is poised to address and provide solutions for the ongoing epidemic of opioid use and addiction.Entities:
Keywords: HEAL; National Drug Abuse Treatment Clinical Trials Network; Opioid use disorder; Substance use disorder treatment
Year: 2021 PMID: 33964973 PMCID: PMC8105960 DOI: 10.1186/s13722-021-00238-6
Source DB: PubMed Journal: Addict Sci Clin Pract ISSN: 1940-0632
CTN Opioid Research Goals
| Prevention |
| •Develop brief, sensitive screening tools suitable for use in busy medical practices |
| •Detect risk levels for opioid misuse and abuse |
| •Match risk levels to appropriate actions, e.g., counseling or treatment |
| Treatment |
| •Increase access to treatment |
| •Expand patient entry points to include, for example, ED, OB/GYN, neonatal care, pediatrics, infectious disease care, dental, pain clinics, criminal justice systems |
| •Engage community pharmacies as potential sites for patient recruitment |
| •Adopt effective methods used in other therapeutic areas to reach patients who are in resource-deprived or rural areas |
| •Improve OUD treatment quality |
| •Implement best practices of MOUD in specialty care and primary care settings |
| •Adopt chronic care model with emphasis on patient-centered approaches for OUD management |
| •Adapt digital technology such as eHealth to reach patients in rural areas; adopt electronic devices to enhance patient engagement, monitoring, and diagnosis |
| Dissemination |
| •Adapt the “learning health care system” |
| •Use electronic health record systems to engage providers and patients to participate in research and expeditiously translate research results into effective care |
| Training |
| •Train research workforce |
Fig. 1Map of CTN Nodes
CTN HEAL Projects
| CTN No | Project title | Lead Investigators (Node) | Design | Outcomes | Settings | # of Sites (N) | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Large, Multi-Site OUD Trials | |||||||||||
| CTN-0080 | Medication Treatment for Opioid Use Disorder in Expectant Mothers (MOMs): A Pragmatic Randomized Trial Comparing Extended-Release and Daily Buprenorphine Formulations | Theresa Winhusen (Ohio Valley) | 2-arm RCT (SL-BUP vs. XR-BUP) | Illicit opioid use during pregnancy and 12-month postpartum; NOWS severity | Office-based | 12 (300) | |||||
| CTN-0097 | Surmounting Withdrawal to Initiate Fast Treatment with Naltrexone (SWIFT): Improving the Real-World Effectiveness of Injection Naltrexone for Opioid Use Disorder | Adam Bisaga, Ned Nunes (Greater New York) | Cluster randomized trial, 2 arms (rapid vs. standard XR-NTX induction) | Proportion of patients receiving first XR-NTX injection | Specialty care | 6 (Up to 450) | |||||
| CTN-0098 | Exemplar Hospital Initiation Trial to Enhance Treatment Engagement (EXHIT ENTRE) | Gavin Bart (Northstar) Todd Korthuis (Western States) | Comparative effectiveness trial, 2 arms (Addiction-Medicine Consultation Services (ACS) with XR-BUP vs. ACS TAU); Implementation trial | Proportion of patients engaged in OUD care on 34th day following hospital discharge | Hospital | 5 (314) | |||||
| CTN-0099 | Emergency Department-INitiated bupreNOrphine and VAlidaTIOn Network Trial (ED-INNOVATION) | Gail D’Onofrio, David Fiellin (New England Consortium) | 2 arm RCT (SL-BUP vs. XR-BUP) | Effectiveness of XR-BUP and SL-BUP induction in ED on engagement in formal addiction treatment at 7 days | Emergency Department RCT | 30 (2000) | |||||
| CTN-0100 | Optimizing Retention, Duration and Discontinuation Strategies for Opioid Use Disorder Pharmacotherapy | John Rotrosen, Ned Nunes (Greater New York) Roger Weiss (New England Consortium) | Retention trial with BUP: 2 behavioral interventions (TAU and TAU + reSET-O) × 3 meds (standard SL-BUP, high SL-BUP, XR-BUP); Retention trial with XR-NTX (TAU vs. TAU + reSET-O); Discontinuation trial for SL-BUP ppts: 2 (TAU and TAU + ACHESS) × 2 (SL-BUP taper and Transition to XR-BUP) | Retention in MOUD treatment at 6 months, 1 year, and 2 years; Successful taper within 1 year and no relapse for 6 months post-taper | Specialty care Primary care | 20 (Retention, N = 1630; Discontinuation, N = up to 1000) | |||||
| CTN-0101 | Subthreshold Opioid Use Disorder Prevention (STOP) Trial | Jennifer McNeely (Greater New York) Jane Liebschutz (Appalachian) | Cluster randomized trial, 2 arms (STOP intervention vs. enhanced usual care) | Days of “risky” opioid use in adult primary care patients over 6 months of follow-up | Primary Care | 5 (60 PCPs; 480 patients) | |||||
| CTN-0102 | Rural Expansion of Medication Treatment for Opioid Use Disorder | Yih-Ing Hser (Greater Southern California) | Feasibility trial; Pragmatic trial, 2 arms (OBOT vs. OBOT + telemedicine) | Proportion of OUD patients initiating or receiving MOUD and retention on MOUD in rural communities | Rural Primary care Telemedicine office-based opioid Treatment | 40 (Phase I; N = 48,000); 30 (Phase II; N = 240,000) | |||||
| Closing the Treatment Gap | |||||||||||
| CTN-0088 | DC Research Infrastructure Building & Initiative to Reach, Engage, and Retain in MAT patients with OUD | Richard Schottenfeld (Mid-Atlantic) | Single-arm: collaborative care model of MOUD provision; community-based outreach, engagement, and recovery support interventions | Treatment retention, adherence, and satisfaction | Specialty care | 1 (170) | |||||
| CTN-0093 | Validation of a Community Pharmacy-based Prescription Drug Monitoring Program Risk Screening Tool (PHARMSCREEN) | Gerald Cochran (Greater Intermountain) Theresa Winhusen (Ohio Valley) | Cross-sectional, self-administered health survey | Substance use, risk for adverse opioid-related outcomes | Community pharmacy | 15 (1523) | |||||
| CTN-0095 | Clinic-Randomized Trial of Clinical Decision Support for Opioid Use Disorders in Medical Settings | Rebecca Rossom, Gavin Bart (Northstar) | 2-arm: OUD Clinical Decision Support or Usual Care | OUD diagnosis, Naloxone prescription, MOUD orders or referrals, total days covered by MOUD prescription | Primary care | 30 (1500) | |||||
| CTN-0096 | Culturally Centered MAT for OUD Implementation Facilitation for Primary Care and Addiction Treatment Programs Serving American Indian/Alaska Natives | Kamilla Venner (Southwest) Aimee Campbell (Greater New York) | Cluster-randomized stepped wedge, 2-phase development and testing of MOUD implementation intervention | Proportion of OUD patients initiated on MOUD | Primary care Specialty care | 4 (200) | |||||
| CTN-0105 | Integrating pharmacy-based prevention and treatment of opioid and other substance use disorders: A survey of pharmacists and stakeholders (Pharm-Serve-SUD) | Li-Tzy Wu (Mid-Southern) | Cross-sectional, one-time survey | Knowledge of, attitudes about, and intention to provide patient care and services for SBIRT for MOUD | Community pharmacy | 1062 licensed community pharmacists recruited from pharmacist associations or pharmacy networks in U.S | |||||
| CTN-0107 | Peer recovery Support: A Bridge to Treatment for Overdose Survivors | Kelly Barth (Southern Consortium) | 2-arm (Peer Recovery Coaches vs. TAU) | Engagement in formal OUD treatment, retention in treatment, number of overdoses after enrollment | Emergency department | 3 | |||||
| Expansion of Existing OUD Studies | |||||||||||
| CTN-0074-A-1 | Primary care Opioid Use Disorder Treatment PROUD Economic Ancillary Study | Katharine Bradley Sean Murphy (Health Systems) | Observational (data collected from randomized controlled trial comparing collaborative care model and usual primary care for OUD) | Costs of collaborative care model intervention compared to usual care and net monetary benefit from healthcare sector perspective | Primary care | 12 (~ 120,000) | |||||
| CTN-0079-A-1 | Ancillary Study of the Adoption and Sustainability of ED-Initiated Buprenorphine | Ryan McCormack John Rotrosen (Greater New York) | Implementation and feasibility study | Patients assessed, treated, and engaged in treatment; Factors influencing diffusion and effectiveness of clinical protocols for OUD screening, Bup treatment and referral | Emergency departments | 2 (80–120) | |||||
| CTN-0084-A-1 | Determining the Optimal Duration of Buprenorphine Treatment to Reduce the Risk of Relapse, Overdose, and Mortality | Cynthia Campbell (Health Systems) | Observational | Risk of relapse, overdose, and mortality | Health systems EHR (registry) | 10 health systems (1.8 M) | |||||