Clinicians must remain attentive to functional impairment and loss of control in problematic use of generative AI chatbotsProblematic AI chatbot use needs careful attention before it becomes a formal diagnosis

Frontiers in Medicine Published June 4, 2026 DOI ↗ Editorial oversight: Dr. Sofia Müller, MD · Lifespan & Whole-Person Care

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Key Takeaway

Monitor functional impairment and loss of control; avoid overpathologization of problematic generative AI chatbot use.

This narrative review examines the problematic use of generative AI chatbots (PUGAIC). The scope includes the current state of knowledge regarding this emerging issue. The authors highlight that existing measurement tools are in early stages of validation. Diagnostic boundaries between high engagement in generative AI-related activities, problematic use, and addiction-like behavior remain unclear. Culturally constrained perspectives and a lack of clinical correlates further limit the evidence base. The review cautions against treating PUGAIC as a formally established diagnostic entity at this time. Moral apprehension should be avoided to prevent overpathologization of user behavior. The primary outcome and specific adverse events were not reported in this source. Safety data regarding serious adverse events, discontinuations, and tolerability are not available. The review emphasizes that clinicians have to remain attentive to cases involving functional impairment, psychological distress, and loss of control. Practice relevance centers on monitoring these specific functional outcomes rather than relying on unvalidated diagnostic criteria. The certainty of the findings is constrained by the limitations of the available literature.

The use of generative AI chatbots is growing fast. But what happens when use becomes problematic? This review looks at that emerging issue. It notes that current evidence remains limited. Most data comes from cross-sectional surveys. These studies capture a snapshot in time. They do not show cause and effect. Without clinical correlates, it is hard to tell if behavior is just heavy use or something more serious. Diagnostic boundaries remain unclear. We do not yet know where high engagement ends and addiction-like behavior begins. Existing measurement tools are in early stages of validation. They need more testing before we can trust them fully. Cultural factors also constrain our understanding. Different groups may experience these tools differently. Clinicians must remain attentive to cases involving functional impairment. They should also watch for psychological distress and loss of control. We must avoid overpathologizing normal behavior. Moral apprehension can cloud our judgment. We need honest tools to help patients. Until then, careful observation is the best approach.

What this means for you:

Clinicians should watch for functional impairment and distress rather than rushing to a new diagnosis.

Study Details

Study typeSystematic review

EvidenceLevel 1

PublishedMay 2026

View Original Abstract ↓

The potential negative consequences of generative AI are the subject of intense debate, with pragmatic and theoretical arguments and counterarguments advanced by mental health specialists, researchers, and policymakers regarding its impact on creativity, overall functioning, and psychosocial wellbeing. The current narrative review addresses historical and conceptual developments in the problematic use of generative AI chatbots (PUGAIC) and empirical findings on its epidemiology, risk factors, assessment instruments, and proposed pathophysiological mechanisms, without advancing PUGAIC as a formally established diagnostic entity. Preliminary data suggest that emotional attachment, anthropomorphism, instant reinforcement, and parasocial dynamics may contribute to compulsive use of generative AI in vulnerable individuals. However, current evidence remains limited, without clinical correlates, predominantly cross-sectional, and culturally constrained. Existing measurement tools are in early stages of validation, and diagnostic boundaries between high engagement in generative AI-related activities, problematic use, and addiction-like behavior remain unclear. While moral apprehension and overpathologization are pitfalls that should be avoided, clinicians have to remain attentive to cases involving functional impairment, psychological distress, and loss of control. In conclusion, based on the available data, PUGAIC may be conceptualized as a potential spectrum phenomenon embedded within broader psychosocial vulnerabilities rather than as an established clinical disorder. Longitudinal research, cross-cultural validation of instruments, and neurocognitive investigations are needed to clarify its nosological status and inform preventive and therapeutic strategies.

Clinicians must remain attentive to functional impairment and loss of control in problematic use of generative AI chatbotsProblematic AI chatbot use needs careful attention before it becomes a formal diagnosis

Study Details

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Clinicians must remain attentive to functional impairment and loss of control in problematic use of generative AI chatbotsProblematic AI chatbot use needs careful attention before it becomes a formal diagnosis

Study Details

LSG associated with lower readmission rates than LRYGB in outpatient bariatric surgery settings

Sleeve gastrectomy shows lower readmission rates after bariatric surgery

Clinical research that matters. Delivered to your inbox.

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