Large Language Models in Mental Health Care: a Scoping Review
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Abstract (arXiv)
Objectieve:This review aims to deliver a comprehensive analysis of Large Language Models (LLMs) utilization in mental health care, evaluating their effectiveness, identifying challenges, and exploring their potential for future application. Materials and Methods: A systematic search was performed across multiple databases including PubMed, Web of Science, Google Scholar, arXiv, medRxiv, and PsyArXiv in November 2023. The review includes all types of original research, regardless of peer-review status, published or disseminated between October 1, 2019, and December 2, 2023. Studies were included without language restrictions if they employed LLMs developed after T5 and directly investigated research questions within mental health care settings. Results: Out of an initial 313 articles, 34 were selected based on their relevance to LLMs applications in mental health care and the rigor of their reported outcomes. The review identified various LLMs applications in mental health care, including diagnostics, therapy, and enhancing patient engagement. Key challenges highlighted were related to data availability and reliability, the nuanced handling of mental states, and effective evaluation methods. While LLMs showed promise in improving accuracy and accessibility, significant gaps in clinical applicability and ethical considerations were noted. Conclusion: LLMs hold substantial promise for enhancing mental health care. For their full potential to be realized, emphasis must be placed on developing robust datasets, development and evaluation frameworks, ethical guidelines, and interdisciplinary collaborations to address current limitations.
Key facts. Cited by 34 papers in the map (data through 14 Oct 2026). Builds on 70 of its 142 references that are in the map. First posted on arXiv 1 Jan 2024.
Builds on
70 of 142 references.
References · 70
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Citing papers per year: 2024: 12; 2025: 16; 2026: 6.
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- 2024Depression Detection on Social Media with Large Language Modelscited by 20
- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Supportcited by 16
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- 2026PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Supportcited by 0
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- 2026Candidate Generation and Definition-Guided Verification for Sentence-Level Depression Symptom Recognition1 Sep 2026
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- 2026PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support22 Jun 2026
- 2026AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?20 Mar 2026
- 2026Small Agent Group is the Future of Digital Health8 Feb 2026
- 2026Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety14 Jan 2026
- 2025Natural Language Tools: A Natural Language Approach to Tool Calling In Large Language Agents16 Oct 2025
- 2025Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey14 Oct 2025
- 2025Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate11 Oct 2025
- 2025PsycholexTherapy: Simulating Reasoning in Psychotherapy with Small Language Models in Persian4 Oct 2025
- 2025CATCH: A Novel Data Synthesis Framework for High Therapy Fidelity and Memory-Driven Planning Chain of Thought in AI Counseling30 Sep 2025
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- 2025AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing23 May 2025
- 2025ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data20 May 2025
- 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents3 Apr 2025
- 2025OnRL-RAG: Real-Time Personalized Mental Health Dialogue System2 Apr 2025
- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support25 Feb 2025
- 2025HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM Agents9 Feb 2025
- 2025When and How to Integrate Multimodal Large Language Models in College Psychotherapy: Perspectives from Multi-stakeholders1 Feb 2025
- 2025Labeling Free-text Data using Language Model Ensembles14 Jan 2025
- 2024A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers27 Nov 2024
- 2024Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection21 Oct 2024
- 2024Hybrid Training Approaches for LLMs: Leveraging Real and Synthetic Data to Enhance Model Performance in Domain-Specific Applications11 Oct 2024
- 2024Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs8 Oct 2024
- 2024A Comprehensive Evaluation of Large Language Models on Mental Illnesses24 Sep 2024
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- 2024Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks21 Aug 2024
- 2024IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being19 Jun 2024
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- 2024Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study26 Mar 2024
- 2024Depression Detection on Social Media with Large Language Models16 Mar 2024
- 2024Large Language Model for Mental Health: A Systematic Review19 Feb 2024
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- 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agentscited by 6
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- 2025Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate11 Oct 2025
- 2025Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to Agents3 Apr 2025
- 2025HamRaz: A Culture-Based Persian Conversation Dataset for Person-Centered Therapy Using LLM Agents9 Feb 2025
- 2024A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers27 Nov 2024
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- 2025Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support25 Feb 2025
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- 2026One Year Later...The Harms Persist, But So Do We!22 Jun 2026
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- 2024A Comprehensive Evaluation of Large Language Models on Mental Illnessescited by 7
- 2024Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Taskscited by 6
- 2025AI shares emotion with humans across languages and culturescited by 6
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- 2025Labeling Free-text Data using Language Model Ensemblescited by 5
- 2025Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a surveycited by 5
- 2026AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?cited by 5
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- 2026Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safetycited by 4
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- 2026PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support22 Jun 2026
- 2026AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?20 Mar 2026
- 2026Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety14 Jan 2026
- 2025Evolution of meta's llama models and parameter-efficient fine-tuning of large language models: a survey14 Oct 2025
- 2025AI shares emotion with humans across languages and cultures11 Jun 2025
- 2025Artificial Empathy: AI based Mental Health30 May 2025
- 2025From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data24 May 2025
- 2025AI-Augmented LLMs Achieve Therapist-Level Responses in Motivational Interviewing23 May 2025
- 2025Labeling Free-text Data using Language Model Ensembles14 Jan 2025
- 2024Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection21 Oct 2024
- 2024Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs8 Oct 2024
12 newest of 20 All 20 (JSON)