Evidence map›Paper›PMID 42149657›Full record

ArticleJournal of behavioral addictions2026

Chatbot relational dependence and psychosis risk: Conversational artificial intelligence as a potential behavioral addiction context.

Tamás Treuer, Adrienne Incze

Abstract readCase Reports
In one paragraph

Article in Journal of behavioral addictions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tamás Treuer1Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.ORCID https://orcid.org/0009-0006-8431-135X
Adrienne Incze2Department of Personality and Clinical Psychology, Faculty of Humanities and Social Sciences Institute of Psychology Pázmány Péter Catholic University (PPCU), Budapest, Hungary.ORCID https://orcid.org/0009-0003-3988-5723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, companionship, and psychological reflection. Their capacity to simulate attentiveness, empathy, and conversational continuity may shift technology use from instrumental interaction toward relational engagement. Emerging clinical observations suggest that intensive chatbot use may, in vulnerable individuals, contribute to psychiatric destabilization, including reinforcement of maladaptive beliefs and, in rare cases, psychotic symptoms. This viewpoint proposes that conversational AI engagement can be conceptualized within a behavioral addiction framework capable of interacting with psychosis vulnerability without requiring biological intoxication. An illustrative clinical case is presented involving a young adult woman who developed paranoid psychosis following escalating emotional reliance on a chatbot, including a fixed delusional belief that her husband was covertly communicating through the system. Potential mechanisms include persistent algorithmic attention, sleep disruption, social withdrawal, cognitive reinforcement loops, and displacement of attachment needs. Although causal relationships cannot be inferred from current evidence, systematic assessment of intensive AI engagement may become clinically relevant in behavioral addiction psychiatry and early psychosis evaluation. Further empirical research is needed to clarify prevalence, mechanisms, and clinical implications of AI-mediated relational dependence.

Indexed as

Artificial IntelligenceBehavior, AddictiveInternet Addiction DisorderPsychotic DisordersFemaleHumansYoung Adultartificial intelligencebehavioral addictionchatbotshuman–AI interactionpsychosis

Identifiers

PMID42149657
PMCPMC13371778

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.