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Substance use disorder (SUD) is a complex chronic condition requiring a multi-disciplinary approach to both research and treatment. Randomized controlled trials (RCTs) are gold standard methodologies for inferring causal relationships between an intervention and treatment outcomes but often face challenges in generalizability, scalability and real-world implementation. Target trial emulation (TTE) is a powerful methodological framework that uses observational or real-world data sources to emulate the methodology of these gold standard target trials to complement the learning from RCTs and enhance translation to real world evidence. An additional methodological innovation is the translational testing of clinical- and community-based digital health systems to provide new insights into SUD in the real world and provide scalable access to therapeutic resources.

To explore these methodological innovations in SUD research, the National Institute on Drug Abuse Center for the Clinical Trials Network convened a variety of experts for a virtual workshop titled “Target Trial Emulation in Observational Research and Translational Testing of Advanced Digital Health Tools for Substance Use Disorder Prevention and Treatment.” This article summarizes the discourse of the workshop, focused on three thematic areas: TTE using real-world healthcare data, SUD evidence from nationwide data sources that may be useful in TTE analyses, and translational testing of clinical- and community-based digital health systems. The workshop also highlighted various exemplars of digital health systems that demonstrate success in translational research addressing SUDs, key methodological and translational challenges, importance of rigorous study design, robust data linkages and expanding use of common data elements, and the integration of digital health tools to enhance causal inference and clinical impact. Future research directions are outlined to refine these approaches, address barriers, and maximize the utility of real-world data in shaping effective SUD prevention and treatment strategies.

Introduction and background: The three medications approved to address OUD are effective in decreasing opioid use and morbidity and mortality; however, their utility is limited by high rates of dropout from treatment. The CTN-0100 trial will develop an evidence base for strategies to improve retention on buprenorphine and extended-release naltrexone.

Research design and methods: The National Drug Abuse Treatment Clinical Trials Network (CTN) study CTN-0100, “Optimizing Retention, Duration and Discontinuation Strategies for Opioid Use Disorder Pharmacotherapy” (RDD), is a multicenter, randomized, non-blinded trial enrolling more than a thousand patients from 18 community-based substance use disorder treatment programs. Participants are adult volunteers seeking to initiate medication treatment for OUD (MOUD). Individuals choose between buprenorphine or extended-release injectable naltrexone. The trial randomizes participants choosing buprenorphine, in a 3 × 2 factorial design, to a medication condition (standard-dose sublingual buprenorphine, high-dose sublingual buprenorphine, or extended-release injectable buprenorphine) and to a behavioral condition (Medical Management or Medical Management plus a digital therapeutic (smartphone) app). Individuals choosing extended-release naltrexone are randomized only to a behavioral condition. Participants receive study medication for 74 weeks and are then followed for a further 24 weeks. The primary outcome is successful retention on MOUD at 26 weeks (six months), with 50- and 74-week retention among the secondary outcomes.

Conclusions: Dropout from treatment is a major barrier to the effectiveness of MOUD. The CTN-0100 study will determine whether strategies such as high dose sublingual or extended-release buprenorphine, or an app-based behavioral intervention improve retention on MOUD.

Related protocols: CTN-0100

Buprenorphine, and extended-release naltrexone, are effective in decreasing opioid use, morbidity and mortality. The available evidence suggests that these medications should be used for long term treatment; however, patients often ask how long they need to be on medication, and whether it would be safe to discontinue. There are sparse data to guide us. The CTN-0100 trial will address this gap in our knowledge by studying participants who have decided to discontinue buprenorphine and extended-release naltrexone for OUD.

The trial is a multicenter, randomized, non-blinded study. Participants are stable adult volunteers, on sublingual buprenorphine, extended-release buprenorphine, or extended-release naltrexone, expressing an interest in discontinuing medication. Participants on buprenorphine must be stable for at least 1 year and participants on extended-release naltrexone must be stable for at least 6 months. Participants are engaged in the study for up to 96 weeks, including a flexible taper period, and are then transitioned to follow-up within the trial. All participants are randomly assigned to the study Medical Management (MM) or to MM plus Connections (CHESS health) digital smartphone application aimed at recovery and abstinence (MMD). Sublingual Buprenorphine participants are also randomized (2 × 2 design) to a taper using either sublingual or extended-release buprenorphine.

Conclusions: It is hoped that this trial will provide a rich source of data on management of patients discontinuing medication for opioid use disorder (MOUD) to inform future research and practice. The trial will shed light on which strategies are most likely to lead to long-term success (absence of relapse), and what participant characteristics distinguish those who can safely discontinue MOUD from those who remain at risk of relapse should they discontinue.

Related protocols: CTN-0100

Across the U.S., the prevalence of opioid use disorder (OUD) and the rates of opioid overdoses have risen precipitously in recent years. Several effective medications for OUD (MOUD) exist and have been shown to be life-saving. A large volume of research has identified a confluence of factors that predict attrition and continued substance use during substance use disorder treatment. However, much of this literature has examined a small set of potential moderators or mediators of outcomes in MOUD treatment and may lead to over-simplified accounts of treatment non-adherence. Digital health methodologies offer great promise for capturing intensive, longitudinal ecologically-valid data from individuals in MOUD treatment to extend our understanding of factors that impact treatment engagement and outcomes.

This paper describes the protocol (including the study design and methodological considerations) from a novel study supported by the National Drug Abuse Treatment Clinical Trials Network at the National Institute on Drug Abuse (NIDA). This study (D-TECT, CTN-0084-A-2) primarily seeks to evaluate the feasibility of collecting ecological momentary assessment (EMA), smartphone and smartwatch sensor data, and social media data among patients in outpatient MOUD treatment. It secondarily seeks to examine the utility of EMA, digital sensing, and social media data (separately and compared to one another) in predicting MOUD treatment retention, opioid use events, and medication adherence [as captured in electronic health records (EHR) and EMA data]. To our knowledge, this is the first project to include all three sources of digitally derived data (EMA, digital sensing, and social media) in understanding the clinical trajectories of patients in MOUD treatment. These multiple data streams will allow us to understand the relative and combined utility of collecting digital data from these diverse data sources. The inclusion of EHR data allows us to focus on the utility of digital health data in predicting objectively measured clinical outcomes.

Discussion: Results may be useful in elucidating novel relations between digital data sources and OUD treatment outcomes. It may also inform approaches to enhancing outcomes measurement in clinical trials by allowing for the assessment of dynamic interactions between individuals’ daily lives and their MOUD treatment response.

Related protocols: CTN-0084-A-2

This webinar was the fourth in a series of collaborative webinars between the CTN and CSAT. In this session, an overview of the state of the science of applying digital therapeutics (e.g., mobile, web-based therapeutic tools) to substance use disorder (SUD) care was presented (30 minutes). CSAT provided an overview of their portfolio on the intersection of digital technology and SUDs, and CSAT grantees provided a few examples of this work (30 minutes). The presentations were followed by a 30 minute discussion with meeting participants on challenges and opportunities in sustainable implementation of digital therapeutics in SUD care.

Presentations included:

• Overview of the State of the Science of Applying Digital Therapeutics to Substance Use Disorder (SUD) Care — Lisa A. Marsch, PhD, Dartmouth Center for Technology and Behavioral Health (Northeast Node of the CTN)
• Targeted Capacity Expansion – Technology Assisted Care (TCE-TAC) Program Overview — Wilson Washington, CSAT/SAMHSA
• The Science of Digital Therapeutics: The CHC Experience — Kasey Harding, MPH, Center for Key Populations
• Heartview Foundation Network Assisted Recovery — Kurt Snyder, Heartview Foundation
• Behavioral Tele-Health: CSAT/CTN Webinar — Dianne Clarke, PhD, Operation PAR, Inc