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Introduction: Tobacco smoking is the leading preventable cause of mortality in the United States, and 90% of regular smokers initiate smoking before age 18 years. Factors that confer risk for chronic smoking include psychiatric factors, such as externalizing disorders, and potentially related neurobiological substrates, such as reward function. The present study examined the relationship between the externalizing disorders and the temporal progression of smoking among adolescent smokers. [ABSTRACT FROM PUBLISHER]

The purpose of this commentary is to highlight current research priorities of National Institute on Drug Abuse (NIDA) Division of Therapeutics and Medical Consequences (DTMC) regarding the development and testing of incentive-based interventions for the treatment of substance use disorders (SUDs). This manuscript summarizes the NIH Stage Model for behavioral intervention development, briefly reviews existing research on incentive-based treatments for SUDs that falls within the scope of DTMC at NIDA and highlights the development of digital therapeutics-based incentive interventions as an exemplar and high priority area. We briefly review how digital therapeutics approaches may address some common limitations to dissemination of incentive-based interventions and highlight opportunities for integrating incentive-based approaches into pharmacotherapy efficacy trials. Finally, we mention several related funding opportunities for researchers interested in developing incentive-based approaches for SUD treatment. The overall goal of this commentary is to inform the research community of current NIDA priority areas for intervention development and funding., Competing Interests: Declaration of Competing Interest There are no conflicts of interest to disclose., (Copyright © 2023. Published by Elsevier Inc.)

What accounts for variation across racial and ethnic groups in drug use and harms related to substance use? While explanatory mechanisms for racial and ethnic disparities include differential access to and use of health services, a myriad of other factors, including racism and historical trauma, contribute to drug-related disparities. Furthermore, the addiction scientific workforce, like the full biomedical research enterprise, lacks diversity. This deficit undercuts U.S. scientific leadership and is a major challenge for the field. To address these entrenched problems, the National Institute on Drug Abuse (NIDA) is prioritizing research on health disparities and supporting multiple efforts to enhance scientific workforce diversity. Studies on substance use trends and emerging threats must measure disparities and track progress in reducing disparities, but also acknowledge the limitations of race and ethnicity-based data. Researchers must take the bold step of proposing studies that elucidate causal mechanisms which have the potential to be ameliorated by novel policies and practices. Critically, the impact of racism on all aspects of the substance use trajectory must be assessed to better tailor prevention, harm reduction, treatment, and recovery-support interventions to the specific circumstances of those who need them. Particular attention should be given to people who are incarcerated, who are experiencing homelessness, and who have a history of adverse childhood experiences. Training the next generation of the addiction science workforce needs to address structural barriers to participation with partnerships between funders, such as NIDA, and grantee organizations., Competing Interests: Declaration of Competing Interest Unrelated to the submitted work, Compton reports ownership of stock in General Electric Co., 3M Co., and Pfizer Inc. Other authors have no conflicts to disclose., (Published by Elsevier B.V.)

The National Institutes of Health (NIH) has increasingly supported research in digital health technologies to advance research and deliver behavior change interventions. We highlight some of the research supported by the NIH in eHealth, mHealth, and social media as well as research resources supported by the NIH to accelerate research in this area. We also describe some of the challenges and opportunities in the digital health field and the need to balance the promise of these technologies with rigorous scientific evidence.

The goal of the NIH Science of Behavior Change (SOBC) Common Fund Program is to provide the basis for an experimental medicine approach to behavior change that focuses on identifying and measuring the mechanisms that underlie behavioral patterns we are trying to change. This paper frames the development of the program within a discussion of the substantial disease burden in the U.S. attributable to behavioral factors, and details our strategies for breaking down the disease- and condition-focused silos in the behavior change field to accelerate discovery and translation. These principles serve as the foundation for our vision for a unified science of behavior change at the NIH and in the broader research community., (Copyright © 2017. Published by Elsevier Ltd.)

Large-scale, multisite data sets offer the potential for exploring the public health benefits of biomedical interventions. Data harmonization is an emerging strategy to increase the comparability of research data collected across independent studies, enabling research questions to be addressed beyond the capacity of any individual study. The National Institute on Drug Abuse recently implemented this novel strategy to prospectively collect and harmonize data across 22 independent research studies developing and empirically testing interventions to effectively deliver an HIV continuum of care to diverse drug-abusing populations. We describe this data collection and harmonization effort, collectively known as the Seek, Test, Treat, and Retain Data Collection and Harmonization Initiative, which can serve as a model applicable to other research endeavors.