Featured Paper of the Month – February 2026
Published in International Journal of Mental Health and Addiction by Emily Herberholz, Rachel Wolchok an David Epstein, et al. of the NIDA IRP Real-world Assessment, Prediction, and Treatment Section.

Study Authors — Top row: Emily Herberholz and Rachel Wolchok (co-first-authors), Jeff Rogers. Bottom row: Sophia Selenou‑Yemgang, Bianca Beckwith, Kirsten Smith, and David Epstein.
Summary
This paper began as a summer-student project, using data from a nationwide survey conducted by our group (RAPT) on US adults who currently used any of several drugs (specifically alcohol, opioids, or psychostimulants), whether or not they had symptoms of a substance use disorder (SUD, which includes alcohol use disorder). The survey included a standard measure of adverse childhood events (ACEs), such as abuse, neglect, and other stressors; it also included assessment of SUD symptoms. In this paper, we first showed that we could categorize people by specific patterns/types of ACE exposure, providing a more informative summary than the older approach of just tallying up each person’s total number of types of ACEs. Then we showed that even though ACE exposure can predict later SUD symptoms to a statistically significant degree in people who use alcohol or other drugs, the predictions are too imprecise for case-by-case decisionmaking. (We also found that people exposed to parental SUD may actually avoid substance use in adulthood, a process called aversive transmission.) We cited evidence that routine use of ACE scores as SUD-risk indicators might harm people by becoming a source of stigma, a self-fulfilling prophecy, or a barrier to some forms of medication access. We proposed, instead, the use of ACEs data at the level of whole medical practices or communities, perhaps with an ACEs measure developed by the World Health Organization that assesses large-scale social disruptions as well as familial ones. Upticks in ACE prevalence could be used to scale up resources for communities that need them, without the harms that can accompany inherently uncertain individual predictions and classifications.
Publication Information
In: International Journal of Mental Health and Addiction, 0000, ISBN: 1557-1882.
