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TRUVACE RECORD VERSION
record: TRV-2026-0348
version: 5
kind: sources_changed
reason: Source set updated
timestamp: 2026-09-20T06:54:26.865060Z
status: published
lens: g_space
sector: health
headline: The Impact of Chatbots on Adolescent Mental Health Development: A Comprehensive Literature Review
dek: The integration of artificial intelligence (AI) chatbots in adolescent mental health care represents a transformative shift in how digital interventions address psychological well-being among young populations. This comprehensive review synthesizes evidence examining the multifaceted impact of chatbot technology on adolescent mental health development. A systematic search was conducted across PubMed, PsycINFO, Web of Science, and Scopus databases using terms related to chatbots, conversational agents, adolescent…
gain_title: AI chatbots used as supplementary mental health support reduced psychological distress among adolescents aged 10-24 and helped overcome stigma-related barriers to care access.
problem_title: (none)
trace_subject: (none)
gain_reading: AI chatbots used as supplementary mental health support reduced psychological distress among adolescents aged 10-24 and helped overcome stigma-related barriers to care access.
gain_evidence: moderate effectiveness in reducing psychological distress (g = -0.46 to -0.10) | show promise in addressing barriers to mental health care access, particularly stigma-related concerns
problem_reading: (none)
problem_evidence: (none)
quick_read: A March 2026 comprehensive literature review in the Journal of Multidisciplinary Healthcare analyzed 80 studies on AI chatbots for adolescents aged 10-24. It found moderate effectiveness in reducing psychological distress with effect sizes from g = -0.46 to -0.10 and noted promise in lowering stigma-related barriers to care.

The dual findings matter because chatbots are being positioned as scalable supplements to scarce adolescent mental health services, yet the evidence base is short-term and heterogeneous. Whether benefits persist, how dependency and privacy risks manifest over development, and how interventions perform across cultures remain open questions for implementation.
limitation: Review notes that long-term developmental effects and cultural adaptations remain unresolved, requiring careful consideration for responsible implementation.
tag: Evidence-backed gain
key_points: Systematic review included 80 studies from 2020-2025 after screening 1247 records across PubMed, PsycINFO, Web of Science, and Scopus following PRISMA guidelines. | Population defined as adolescents aged 10-24 years, with outcomes examined across emotional health, social development, cognitive functioning, and behavioral patterns. | Effect size for distress reduction reported as g = -0.46 to -0.10, described as moderate effectiveness. | Authors flagged need for attention to ethical implications, cultural adaptations, and long-term developmental effects for responsible implementation.
rundown: The review synthesized 80 studies published between 2020 and 2025, selected from 1247 initial records after duplicate and relevance screening across four major databases.

Beyond distress reduction, the authors examined relationships between chatbot usage and social development, cognitive functioning, and behavioral patterns, noting both supplementary support value and risks of dependency and social withdrawal.
sources:
- peer_reviewed | International Journal of Online and Biomedical Engineering (iJOE) | https://doi.org/10.3991/ijoe.v20i02.45377 | 2024-02-14
- peer_reviewed | JMIR Mental Health | https://doi.org/10.2196/57155 | 2024-05-08
- peer_reviewed | Journal of Medical Internet Research | https://doi.org/10.2196/69621 | 2025-01-20
- peer_reviewed | Journal of Multidisciplinary Healthcare | https://doi.org/10.2147/jmdh.s579872 | 2026-03-01
- peer_reviewed | Oxford Open Digital Health | https://doi.org/10.1093/oodh/oqaf005 | 2025-01-01
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