A Systems-Level Response to the Long-Term Realities of Recovery
Abstract
The convergence of population aging and long-term recovery from substance use disorders (SUD) presents a structural challenge not adequately addressed by existing service systems. This article advances the Aging in Recovery Residential Model (ARRM) as a systems-level intervention grounded in empirical evidence. Drawing on epidemiological data, recovery research, and emerging studies on age-specific treatment gaps, including O’Grady et al. (2025), the analysis demonstrates that older adults in recovery present distinct biopsychosocial needs that are insufficiently addressed within current treatment and aging service frameworks. ARRM is proposed as an integrated residential model that aligns recovery support with aging services across the lifespan.
Introduction
The evolution of substance use disorder (SUD) treatment systems has historically focused on initiation and stabilization, while aging systems have evolved to address chronic illness and functional decline. These systems have developed in parallel, with minimal integration. As a result, individuals who sustain long-term recovery and subsequently age encounter environments that are structurally misaligned with their needs.
Empirical Evidence
Recent research confirms the increasing presence of older adults within SUD treatment populations. O’Grady et al. (2025) found that facilities offering tailored programs for older adults increased between 2010 and 2022; however, medical services remained inconsistently available, ranging from 39% to 52%. This imbalance highlights a systemic gap between psychosocial support and medical complexity.
Additional evidence demonstrates that individuals in recovery often experience chronic health conditions, cognitive changes, and increased vulnerability to environmental stressors (Kelly et al., 2017; Volkow & Boyle, 2018). Mortality data further indicate rising overdose rates among older populations (Spencer et al., 2024).
Conceptual Framework
ARRM The Aging in Recovery Residential Model (ARRM) is designed as an integrated care framework addressing four domains: recovery continuity, medical complexity, environmental stability, and social reinforcement. ARRM incorporates recovery-informed housing, peer support, interdisciplinary care coordination, and trauma-informed practices.
Systems and Policy Implications
The implementation of ARRM necessitates structural changes in funding, workforce development, and service integration. Current reimbursement models do not adequately support long-term recovery maintenance within aging populations. Policy adjustments are required to align behavioral health and aging services.
Discussion
The available data supports the conclusion that aging in recovery is not adequately addressed within existing systems. The persistence of unmet medical needs within tailored programs suggests that current approaches are insufficient. ARRM provides a framework for addressing these deficiencies.
Conclusion
The empirical evidence demonstrates the necessity of integrated models that support individuals across the full trajectory of recovery and aging. ARRM represents a viable systems-level intervention grounded in existing research.
References
Kelly, J. F., Bergman, B. G., Hoeppner, B. B., Vilsaint, C. L., & White, W. L. (2017). Prevalence and pathways of recovery from drug and alcohol problems in the United States population. Drug and Alcohol Dependence, 181, 162–169. https://doi.org/10.1016/j.drugalcdep.2017.09.028
O’Grady, M., Zajac, K., DePalma, A., Liu, Y., & Barry, L. C. (2025). Tailoring treatment for substance use disorders in older adults: A mixed-methods study. Innovation in Aging, 9(6), igaf027. https://doi.org/10.1093/geroni/igaf027
Spencer, M. R., Garnett, M. F., & Miniño, A. M. (2024). Drug overdose deaths in the United States, 2002–2022. National Center for Health Statistics. https://doi.org/10.15620/cdc:135849
Volkow, N. D., & Boyle, M. (2018). Neuroscience of addiction: Relevance to prevention and treatment. American Journal of Psychiatry, 175(8), 729–740. https://doi.org/10.1176/appi.ajp.2018.17101174