Development and Validation of the Decisions to use Opioids Measure.

Background: Millions experience inadequately managed acute pain each year. Opioids are an important tool for managing pain; however, recent reductions in opioid prescriptions have exacerbated preexisting challenges in pain management. Moreover, patient expectations and desires for pain management may drive additional opioid use.

Leveraging Trauma Informed Care for Digital Health Intervention Development in Opioid Use Disorder.

Digital health refers to the use of information and communication technologies in medicine (including smartphone apps, wearables, other non-invasive sensors, informatics and telehealth platforms) to prevent illness, deliver treatment, and promote wellness. This rapidly proliferating group of technologies has the potential to reduce harm for people with opioid use disorder (OUD) and facilitate the recovery process; however, development in this space for OUD has been slower compared to that for other medical conditions. Unique issues with OUD management surrounding patient provider relationships, interaction with the healthcare system, autonomy and trust sometimes hinder care approaches, including those in digital health.

Developing a Wearable Sensor-Based Digital Biomarker of Opioid Dependence.

Background: Repeated opioid exposure leads to a variety of physiologic adaptations that develop at different rates and may foreshadow risk of opioid-use disorder (OUD), including dependence and withdrawal. Digital pharmacovigilance strategies that use noninvasive sensors to identify physiologic adaptations to opioid use represent a novel strategy to facilitate safer opioid prescribing. This study aims to identify wearable sensor-derived features associated with opioid dependence by comparing opioid-naïve individuals to chronic opioid users with acute pain and developing a machine-learning model to distinguish between the 2 groups.

Evaluation of a digital tool for detecting stress and craving in SUD recovery: An observational trial of accuracy and engagement.

Background: Digital health interventions offer opportunities to expand access to substance use disorder (SUD) treatment, collect objective real-time data, and deliver just-in-time interventions: however implementation has been limited. RAE (Realize, Analyze, Engage) Health is a digital tool which uses continuous physiologic data to detect high risk behavioral states (stress and craving) during SUD recovery.

Methods: This was an observational study to evaluate the digital stress and craving detection during outpatient SUD treatment.

American College of Medical Toxicology Research Agenda 2024-2030.

ACMT recognizes the pivotal role of high-quality research in advancing medical science. As such, the establishment of a formal research agenda for ACMT is a leap forward in communicating the priorities of the College, its members, and the patient populations we serve. This thoughtfully crafted agenda will serve as a strategic compass for ACMT, guiding our pursuit of scientific discovery, fostering innovation, and enhancing outcomes for patients and communities affected by poisonings and exposures.