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September 25, 2025Open Access

AI Chatbots in Mental Health Care: Integrative Review of Challenges and Solutions

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Authors

LBLuke Balcombe

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Overview

Integrative review highlights ethical and clinical challenges of AI chatbots in mental health care, pointing to urgent needs for regulation.

Key Points

  • AI chatbots enhance access to mental health care, yet face challenges like user retention.
  • The review includes studies on rule-based and large language model chatbots, emphasizing algorithmic bias and privacy risks.
  • A framework for safe LLM integration in mental health care is critical to improve emotional support and effectiveness.
  • User co-design with vulnerable populations is essential to develop trauma-informed and culturally sensitive AI solutions.

Cite This Study

Luke Balcombe (2025) studied this question.

synapsesocial.com/papers/68d5bd72dc445aa9033b0b5ehttps://doi.org/10.20944/preprints202509.1893.v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Charting the evolution of artificial intelligence mental health chatbots from rule‐based systems to large language models: a systematic review2025
  2. 2Artificial Empathy: AI based Mental Health2025 · 3 citations
  3. 3The utilization of artificial intelligence in mental health.2025 · 1 citations
  4. 4AI ENABLED SOLUTIONS FOR MENTAL HEALTH CARE AND SUPPORT2025
  5. 5Artificial intelligence is mental: Evaluating the role of large-language models in supporting mental health and well-being2025 · 5 citations