Research News Roundup: February 13, 2025

Use of Alternative Payment Models for Substance Use Disorder Prevention in the United States: Development of a Conceptual Framework

Journal: Substance Abuse Treatment, Prevention, and Policy, 2025, doi: 10.1186/ s13011-025-00635-z

Authors: Elian Rosenfeld, Sarah Potter, Jennifer Caputo, Sushmita Shoma Ghose, Nelia Nadal, Christopher M. Jones, … Michael T. French

Abstract:

Background: Alternative payment models (APMs) are methods through which insurers reimburse health care providers and are widely used to improve the quality and value of health care. While there is a growing movement to utilize APMs for substance use disorder (SUD) treatment services, they have rarely included SUD prevention strategies. Challenges to using APMs for SUD prevention include underdeveloped program outcome measures, inadequate SUD prevention funding, and lack of clarity regarding what prevention strategies might fit within the scope of APMs.

Methods: In November 2023, the Substance Abuse and Mental Health Services Administration (SAMHSA), through a contract with Westat, convened an expert panel to refine a preliminary conceptual framework developed for utilizing APMs for SUD prevention and to identify strategies to encourage their adoption.

Results: The conceptual framework agreed upon by the panel provides expert consensus on how APMs could finance a variety of prevention programs across diverse populations and settings. Additional efforts are needed to accelerate the support for and adoption of APMs for SUD prevention, and the principles of health equity and community engagement should underpin these efforts. Opportunities to increase the use of APMs for SUD prevention include educating key groups, expanding and promoting the SUD prevention workforce, establishing funding for pilot studies, identifying evidence-based core components of SUD prevention, analyzing the cost effectiveness of APMs for SUD prevention, and aligning funding across federal agencies.

Conclusion: Given that the use of APMs for SUD prevention is a new practice, additional research, education, and resources are needed. The conceptual framework and strategies generated by the expert panel offer a path for future research. SUD health care stakeholders should consider ways that SUD prevention can be effectively and equitably implemented within APMs.

To read the full text of the article, please visit the publisher’s website.

Journal: American Journal of Preventive Medicine, 2025, doi: 10.1016/j.amepre.2024 .10.019

Authors: Katrina A. Vickerman, Kelly M. Carpenter, Kristina Mullis, Abigail B. Shoben, Julianna Nemeth, Elizabeth Mayers, & Elizabeth G. Klein

Abstract:

Introduction: Broad-reaching, effective e-cigarette cessation interventions are needed.

Study design: This remote, randomized clinical trial tested a mHealth program and nicotine replacement therapy (NRT) for young adult vaping cessation.

Setting/participants: Social media was used from 2021 to 2022 to recruit 508 young adults (aged 18-24 years) in the U.S. who exclusively and regularly (20+ days of last 30) used e-cigarettes and were interested in quitting.

Intervention: All were offered 2 coaching calls and needed to complete the first call for full study enrollment. Participants were randomized to one of 4 groups in the 2×2 design: mailed NRT (8 weeks versus none) and/or mHealth (yes versus no; stand-alone text program including links to videos and online content).

Main outcome measures: Self-reported 7-day point prevalence vaping abstinence at 3 months.

Results: A total of 981 participants were eligible and randomized; 508 (52%) fully enrolled by completing the first call. Enrolled participants were 71% female, 31% non-White, and 78% vaped daily. Overall, 74% completed the 3-month survey. Overall, 83% in the mailed NRT groups and 24% in the no-mailed NRT groups self-reported NRT use. Intent-to-treat 7-day point prevalence abstinence rates (missing assumed vaping) were 41% for calls only, 43% for Calls+mHealth, 48% for Calls+NRT, and 48% for Calls+NRT+mHealth. There were no statistically significant differences for mailed NRT (versus no-mailed NRT; OR=1.3; 95% CI=0.91, 1.84; p=0.14) or mHealth (versus no mHealth; OR=1.04; 95% CI=0.73, 1.47; p=0.84).

Conclusions: This quitline-delivered intervention was successful at helping young adults quit vaping, with almost half abstinent after 3 months. Higher than anticipated quit rates reduced power to identify significant group differences. Mailed NRT and mHealth did not significantly improve quit rates, in the context of an active control of a 2-call coaching program. Future research is needed to examine the independent effects of coaching calls, NRT, and mHealth in a fully-powered randomized control trial.

To read the full text of the article, please visit the publisher’s website.

Journal: Alcohol, 2025, doi: 10.1016/j.alcohol.2024.12.003

Authors: Nousha H. Sabet, & Todd A. Wyatt

Abstract:
Science is now in a new era of exposome research that strives to build a more all-inclusive, panoramic view in the quest for answers; this is especially true in the field of toxicology. Alcohol exposure researchers have been examining the multivariate co-exposures that may either exacerbate or initiate alcohol-related tissue/organ injuries. This manuscript presents selected key variables that represent the Alcohol Exposome. The primary variables that make up the Alcohol Exposome can include comorbidities such as cigarettes, poor diet, occupational hazards, environmental hazards, infectious agents, and aging. In addition to representing multiple factors, the Alcohol Exposome examines the various types of intercellular communications that are carried from one organ system to another and may greatly impact the types of injuries and metabolites caused by alcohol exposure. The intent of defining the Alcohol Exposome is to bring the newly expanded definition of Exposomics, meaning the study of the exposome, to the field of alcohol research and to emphasize the need for examining research results in a non-isolated environment representing a more relevant manner in which all human physiology exists.

To read the full text of the article, please visit the publisher’s website.

Journal: JAMA Network Open, 2025, doi: 10.1001/jamanetworkopen.2024.55165

Authors: Jean Ye, Saloni Mehta, Hannah Peterson, Ahmad Ibrahim, Gul Saeed, Sarah Linsky, … Dustin Scheinost

Abstract:

Importance: Opioid use disorder (OUD) impacts millions of people worldwide. Prior studies investigating its underpinning neural mechanisms have not often considered how brain signals evolve over time, so it remains unclear whether brain dynamics are altered in OUD and have subsequent behavioral implications.

Objective: To characterize brain dynamic alterations and their association with cognitive control in individuals with OUD.

Design, setting, and participants: This case-control study collected functional magnetic resonance imaging (fMRI) data from individuals with OUD and healthy control (HC) participants. The study was performed at an academic research center and an outpatient clinic from August 2019 to May 2024.

Exposure: Individuals with OUD were all recently stabilized on medications for OUD (<24 weeks). Main outcomes and measures: Recurring brain states supporting different cognitive processes were first identified in an independent sample with 390 participants. A multivariate computational framework extended these brain states to the current dataset to assess their moment-to-moment engagement within each individual. Resting-state and naturalistic fMRI investigated whether brain dynamic alterations were consistently observed in OUD. Using a drug cue paradigm in participants with OUD, the association between cognitive control and brain dynamics during exposure to opioid-related information was studied. Variations in continuous brain state engagement (ie, state engagement variability [SEV]) were extracted during resting-state, naturalistic, and drug-cue paradigms. Stroop assessed cognitive control.

Results: Overall, 99 HC participants (54 [54.5%] female; mean [SD] age, 31.71 [12.16] years) and 76 individuals with OUD (31 [40.8%] female; mean [SD] age, 39.37 [10.47] years) were included. Compared with HC participants, individuals with OUD demonstrated consistent SEV alterations during resting-state (99 HC participants; 71 individuals with OUD; F4,161 = 6.83; P < .001) and naturalistic (96 HC participants; 76 individuals with OUD; F4,163 = 9.93; P < .001) fMRI. Decreased cognitive control was associated with lower SEV during the rest period of a drug cue paradigm among 70 participants with OUD. For example, lower incongruent accuracy scores were associated with decreased transition SEV (ρ58 = 0.34; P = .008). Conclusions and relevance: In this case-control study of brain dynamics in OUD, individuals with OUD experienced greater difficulty in effectively engaging various brain states to meet changing demands. Decreased cognitive control during the rest period of a drug cue paradigm suggests that these individuals had an impaired ability to disengage from opioid-related information. The current study introduces novel information that may serve as groundwork to strengthen cognitive control and reduce opioid-related preoccupation in OUD.

To read the full text of the article, please visit the publisher’s website.