Supportive? Addictive? Abusive? How AI companions affect our mental health
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The same literature has also documented meaningful benefits of AI companionship, including reduced loneliness, improved emotional regulation, therapeutic value for users facing barriers to traditional mental health support, and opportunities for social skill development and creative expression.
“However, it is worth noting that the same literature has also documented meaningful benefits: reduced loneliness, improved emotional regulation, therapeutic value for users who face barriers to traditional mental health support, and opportunities for social skill development and creative expression (Adam, 2025; De Freitas, 2025).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Adam, 2025
Cites
Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024) · New Media & Society · doi:10.1177/14614448221142007 · Cited by 420 · see citing works
Deletion, departure, death: Experiences of AI companion loss
Banks, J. (2024) · Journal of Social and Personal Relationships · doi:10.1177/02654075241269688 · Cited by 74 · see citing works
Investigating Affective Use and Emotional Well-being on ChatGPT
Phang, J., Lampe, M., Ahmad, L., Agarwal, S., Fang, C. M., Liu, A. R., Danry, V., Lee, E., Chan, S. W. T., Pataranutaporn, P., et al. (2025) · arXiv · doi:10.48550/arxiv.2504.03888 · Cited by 29 · see citing works
Liu, A. R., Pataranutaporn, P., & Maes, P. (2024) · arXiv · doi:10.48550/arxiv.2410.21596 · Cited by 25 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
AI Chatbot Use and Disclosure for Mental Health Among US Adolescents and Young Adults
McBain, R. K., Cantor, J., Breslau, J., Diliberti, M. K., Zhang, L. A., Zhang, F., Burnett, A., Kofner, A., Rader, B. M., Pataranutaporn, P., et al. (2026) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2026.2015 · Cited by 36 · see citing works
Emotional risks of AI companions demand attention
(2025) · Nature Machine Intelligence · doi:10.1038/s42256-025-01093-9 · Cited by 19 · see citing works
When large language models are reliable for judging empathic communication
Kumar, A., Poungpeth, N., Yang, D., Farrell, E. L., Lambert, B. L., & Groh, M. (2026) · Nature Machine Intelligence · doi:10.1038/s42256-025-01169-6 · Cited by 17 · see citing works
Interaction with AI companions and psychological well-being
Zhang, Y., Zhao, D., Hancock, J. T., Kraut, R. E., & Yang, D. (2026) · Nature Human Behaviour · doi:10.1038/s41562-026-02516-2 · Cited by 114 · see citing works
Artificial intelligence characters are dangerous without legal guardrails
Duffourc, M. N., Verhees, F. G., & Gilbert, S. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02375-3 · Cited by 8 · see citing works
Emotional Resonance and Self-Esteem: The Role of Humanlike Competencies From Mental Health Chatbots
Jialan, S., Deng, Z., Deng, Z., & Song, D. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3625427 · Cited by 4 · see citing works
From moral panic to normalization: comparing users and non-users of AI companionship apps
Novozhilova, E., Vu, C., & Katz, J. E. (2025) · AI & Society · doi:10.1007/s00146-025-02751-7 · Cited by 6 · see citing works
LLM-“Friends” are Hostile Scaffolds in the Age of Loneliness
Sahebi, S., & Parvizi-Wayne, D. (2026) · Minds and Machines · doi:10.1007/s11023-026-09765-0 · Cited by 3 · see citing works
Yang, X. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2026.2618548 · Cited by 2 · see citing works
Li, J. (2025) · interactions · doi:10.1145/3757886 · Cited by 2 · see citing works
Levesque, J. (2025) · Journal of Human Trafficking · doi:10.1080/23322705.2025.2572911 · Cited by 1 · see citing works
Wei, H., Xiang, B., Zheng, X., & Yang, J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2630076 · Cited by 2 · see citing works
Vinh, T., Goodman, G., & Sherrill, A. M. (2026) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2026.100353 · Cited by 1 · see citing works
Wu, Y. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch007 · Cited by 1 · see citing works
Cornaglia, F., Hackmann, M. B., Hackmann, N., Vigliotti, V. S., & Turri, M. G. (2026) · Wellbeing Space and Society · doi:10.1016/j.wss.2026.100388 · Cited by 1 · see citing works
Ben‐Zion, Z., Raffelhüschen, P., Zettl, M., Lüönd, A. M., Burrer, A., Homan, P., & Spiller, T. R. (2025) · Research Square · doi:10.21203/rs.3.rs-7663121/v1 · Cited by 1 · see citing works
Menghani, K., Guttena, R. K., Kannan, H., Rodriguez, R. V., & Tema Atmaja, F. (2026) · Journal of Information Technology Teaching Cases · doi:10.1177/20438869261470446
Detecting “Ripples” of AI-Human Interaction: Three Social Media CasesPreprint
Yin, M., Wang, W., & Xu, W. (2025) · Research Square · doi:10.21203/rs.3.rs-7852578/v1
Understanding GAI user addiction from an I-PACE perspective
Xu, Z., Meng, Z., & Pei, L. (2026) · Information Technology and People · doi:10.1108/itp-07-2025-1047
Toward Natural and Companionable Virtual Agents via Cross-Temporal Emotional Modeling
Zheng, Y., Qin, F., Li, X., Huang, H., Wang, H., Wang, X., Lu, Y., & Zhang, Y. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790917
Only Time Will Tell: A Structured Survey of Longitudinal Studies on Social AI Companions
Pi, Y., & Hunter, R. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2670529
Walther, C. C. (2026) · Springer eBooks · doi:10.1007/978-3-032-06278-9_1
Ayoson, J., Schneider, N., Casanova, B., Kleijkers, L. M. P., Siragusa, L., Müller, N., Tomar, R., Rothschild, S. I., Gut-Fischer, K., Haegler-Laube, E., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-61527-1
Liu, Y., Lu, B., Mu, Y., & Ma, B. (2026) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2026.103112
Yap, V. M. Z., Orben, A. C., Skeggs, A., Pickavance, J., & Wood, M. L. (2026) · Wellcome Open Research · doi:10.12688/wellcomeopenres.27280.1
Qiu, N., Xu, D., Sahakian, B., Langley, C., Eils, R., Marciano, L., Montag, C., Halpern, J., Yeo, B. T. T., Yip, P. S. F., et al. (2026) · Psychotherapy and Psychosomatics · doi:10.1159/pps/aemag015
Untitled work
Eom, D., Renner, J., & Chinn, S. (2026) · arXiv (preprint)
- Authors
- Adam, D.
- Corresponding author
- Adam, David
- Venue
- Nature
- Published
- 2025-05-06
- Volume
- 641
- Issue
- 8062
- Pages
- 296-298
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4410128158
- Cited by
- 26
- References
- 4
- Citations by year
- 2026: 17 · 2025: 9
- FWCI
- 21.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- AI companions, virtual companions, mental health, addiction, dependency, AI harms, benefits of artificial intelligence, long-term effects
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review