AI in addiction medicine risks reinforcing systemic inequities in care access and empathy deficits
Original framing: “Opinion: Using AI in addiction medicine could be particularly risky” — STAT News
The history of addiction medicine is rife with pseudoscientific interventions, from 19th-century 'moral treatment' to 20th-century methadone clinics, often tied to racial control. The opioid crisis was fueled by pharmaceutical companies like Purdue Pharma, yet AI solutions are framed as neutral, ignoring corporate culpability. The cyclical pattern of 'miracle cures'—from lobotomies to digital therapeutics—reveals a pattern of techno-solutionism masking structural failures.
The STAT News piece exemplifies how techno-solutionism frames addiction as a problem of individual risk rather than a symptom of systemic failures—from pharmaceutical greed to the criminalization of marginalized groups.
Indigenous knowledge systems, which treat addiction as a communal and spiritual imbalance, offer a radical alternative to the biomedical model, yet are systematically excluded from policy debates. The historical pattern of 'miracle cures' in addiction medicine—from lobotomies to digital therapeutics—reveals a cycle of displacement where structural inequities are obscured by technological promises. A systemic solution requires decolonizing care, centering harm reduction, and designing AI as a tool for accountability rather than a replacement for human empathy. The trickster here is not the AI itself but the solemnity with which we accept its false promises, ignoring the carnival of suffering it may perpetuate.