Readability, linguistic complexity, and stigma in ChatGPT responses to opioid use disorder FAQs: A comparative analysis
Findings quantify readability and stigma trade-offs in AI-generated OUD education and emphasize the need for plain language prompting and human review.
Authors
- Henrique Nunes Pereira Oliva (ORCID: https://orcid.org/0000-0001-6452-9833)
- Gabriel P. A. Costa (ORCID: https://orcid.org/0009-0007-8702-5436)
- Daniel Lacerda Heringer (ORCID: https://orcid.org/0000-0002-3005-5489)
- Akhil Anand (ORCID: https://orcid.org/0000-0003-4132-2690)
- Vítor Marcelo Soares Campos (ORCID: https://orcid.org/0009-0006-4782-6397)
Institutions
- Cleveland Clinic (US)
- Yale University (US)
- Universidade Federal de Santa Catarina (BR)
- Connecticut Mental Health Center (US)
Publication Details
- Journal
- American Journal on Addictions
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1111/ajad.70101
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00