Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking
Integrating them without conflating evidence and anecdote is especially consequential in psychiatry, where poorly contextualised information can amplify fear, nocebo responses, and non-adherence. Here we develop a provenance-aware, knowledge-graph-based multi-agent framework unifying 466,525 Reddit posts, 60,782 WebMD reviews, and twenty years of U.S. FDA Adverse Event Reporting System records for nine antidepressants.
- ▪Integrating them without conflating evidence and anecdote is especially consequential in psychiatry, where poorly contextualised information can amplify fear, nocebo responses, and non-adherence.
- ▪Here we develop a provenance-aware, knowledge-graph-based multi-agent framework unifying 466,525 Reddit posts, 60,782 WebMD reviews, and twenty years of U.S.
- ▪FDA Adverse Event Reporting System records for nine antidepressants.
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Computer Science > Artificial Intelligence arXiv:2606.26205 (cs) [Submitted on 24 Jun 2026] Title:Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking Authors:Huizi Yu, Jian Liu, Wenkong Wang, Lingyao Li, Jiayan Zhou, Zhaoqian Xue, Xiang Li, Xinxin Lin, Zhiying Liang, Zhuoru Wu, Siyuan Ma, Xin Ma, Lizhou Fan View a PDF of the paper titled Knowledge-augmented Agentic AI for Mental Health Medication Information Seeking, by Huizi Yu and 12 other authors View PDF HTML (experimental) Abstract:Patients increasingly seek medication information online, yet safety knowledge for psychiatric drugs is split between regulatory adverse-event records, which are authoritative but abstract, and patient narratives, which are experience-near but unvalidated.
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