Use of Generative AI for Mental Health Advice Among US Adolescents and Young Adults
This cross-sectional study surveyed US adolescents and young adults on their use of generative artificial intelligence (AI) for mental health advice, including frequency and perceived helpfulness.
Authors
- Angela Burnett
- Melissa Kay Diliberti (ORCID: https://orcid.org/0009-0002-6035-3097)
- Benjamin M. Rader (ORCID: https://orcid.org/0000-0002-6095-0193)
- Aaron Kofner (ORCID: https://orcid.org/0000-0001-6980-1218)
- Hao Yu (ORCID: https://orcid.org/0000-0002-2091-5983)
- Jonathan Cantor (ORCID: https://orcid.org/0000-0003-4468-833X)
- Robert Bozick (ORCID: https://orcid.org/0000-0002-5031-9752)
- Li Ang Zhang (ORCID: https://orcid.org/0000-0001-9468-2513)
- Ateev Mehrotra (ORCID: https://orcid.org/0000-0003-2223-1582)
- Ryan K. McBain (ORCID: https://orcid.org/0000-0003-0073-0348)
- Fang Zhang (ORCID: https://orcid.org/0000-0001-7135-1076)
- Bradley D. Stein (ORCID: https://orcid.org/0000-0002-8868-8887)
- Joshua Breslau
- Lori Uscher Pines
Institutions
- Boston Children's Hospital (US)
- RAND Corporation (US)
- Harvard University (US)
- Brown University (US)
- Harvard Pilgrim Health Care (US)
- Boston Children's Museum (US)
- Mass General Brigham (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.42281
- Citations
- 11
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 16.98