Real-World Use of Large Language Models for Mental Health in 2024
Abstract
The extent to which people use general-purpose large language models (LLMs) for their mental health is unknown. Information about use patterns is important for clinicians, developers and regulators. We surveyed U.S. adults (n = 1,871) between August and October 2024 using stratified sampling across age, sex, and race/ethnicity to approximate national demographics. We found that 24% of participants use LLMs for mental health; they are disproportionately young, male, and Black, and have poor mental health. Participants reported difficulty accessing traditional treatment, and using LLMs because they are free, convenient, and available. They report using LLMs for emotional support, learning therapy skills, and supplementing existing therapy. Using Pew-reported estimates of population LLM use, we conservatively estimate that as of 2024, 14–18 million U.S. adults may have been using LLMs for mental health. This work highlights the need for monitoring and evaluation to understand the potential harms and benefits of such use.
Fields of Study & Subjects
Mental Health via Writing
Digital Mental Health Interventions
Artificial Intelligence in Healthcare and Education
Publication details
- Publisher
- Center for Open Science
- Publication date
- 1 June 2026
- Document type
- Preprint