Contextualizing innovation in addiction psychiatry: opportunities to deliver precision medicine in a complex clinical system
AI Summary
Systems innovation framework to transition addiction care from reactive management to proactive, ecosystem-driven precision medicine integrating research, clinical practice and community implementation.
Real-time risk mitigation using digital phenotyping and wearable biosensors for timely overdose detection and personalised intervention.
Precision surveillance with AI-informed data ecosystems and wastewater analysis, plus next-generation therapeutics including neuromodulation and nanotechnology drug delivery.
Curr Opin Psychiatry. 2026 May 8. doi: 10.1097/YCO.0000000000001095. Online ahead of print.
ABSTRACT
PURPOSE OF REVIEW: Current approaches to preventing drug-related harms remain suboptimal. This review describes components of a systems innovation framework for addiction care designed to address escalating drug-related harms and fragmented service delivery through a multidisciplinary, ecosystem-driven approach.
RECENT FINDINGS: Innovative approaches to addiction medicine are needed that integrate clinical research with entrepreneurial execution to address three priority areas of need: real-time risk mitigation using digital phenotyping and wearable biosensors for overdose detection; precision surveillance utilizing AI-informed data ecosystems and wastewater analysis; and next-generation therapeutics, including neuromodulation and nanotechnology-driven drug delivery. This creates an innovative “biopsychotechnological” treatment paradigm that moves beyond traditional clinical boundaries.
SUMMARY: This framework provides a roadmap for transitioning addiction care from reactive clinical and risk management to innovative and proactive precision medicine. For research, it necessitates a shift toward interdisciplinary validation of “biopsychotechnological” models that bridge bench science and community implementation. For clinical practice, this framework offers a blueprint for integrating real-time biosensing and advanced therapeutics into patient care, promising to reduce mortality and support sustainable recovery through ecosystem-informed and individualized care.
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