Chatbot relational-dependence psychosis case (Treuer & Incze, J Behav Addict)
A viewpoint article presents an illustrative clinical case of a 30-year-old married female software developer with no prior psychiatric history who developed first-episode paranoid psychosis after roughly a year of escalating emotional reliance on a conversational AI chatbot, including a fixed delusional belief that her husband was covertly communicating with her through the system. Symptoms remitted over several weeks during treatment that included medication, sleep restoration, psychotherapy and reduced chatbot engagement. The authors state that causality cannot be established.
- AI system
- Unidentified chatbot
- Unknown (platform not named in the case report)
- Occurred
- Event date unknown
- Reported
- 18 May 2026
- Event location
- Unknown
- What the AI did
- Not yet reviewed
- Reported harm
- Psychiatric DeteriorationRelationship Disruption
- Evidence
- Legacy assessment: verified · Causal attribution supported
- People reported harmed
- 1 person
AI system as recorded: Unspecified conversational AI chatbot
What Happened
A 30-year-old married female software developer presented with first-episode psychosis characterized by paranoid delusions, insomnia, anxiety, and occupational decline. She had no prior psychiatric history, no substance misuse, and no known neurological illness; medical evaluation excluded intoxication and neurological causes. Her premorbid functioning was consistently high.
The case is the illustrative clinical centrepiece of a peer-reviewed paper in the Journal of Behavioral Addictions by Tamás Treuer (Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest) and Adrienne Incze (Pázmány Péter Catholic University / University of Pécs), which proposes conceptualizing intensive conversational-AI engagement as a behavioral addiction context capable of interacting with psychosis vulnerability.
In the period before the episode she was under accumulated stress: longstanding marital dissatisfaction centred on perceived emotional distance from her husband, care of a two-year-old child requiring frequent medical supervision, and pressure around returning to a demanding professional role.
Approximately one year before presentation she began using a conversational AI chatbot (the platform is not named in the report) for emotional support and discussion of relationship concerns. Use escalated from occasional to several hours daily, often late at night. She described the chatbot as consistently empathic, attentive, and emotionally validating, in contrast to her experience of her spouse. As engagement intensified, direct communication with her husband decreased and social withdrawal increased. She initially experienced subjective improvement in mood and a sense of being understood.
The pivotal change came when she began to perceive the chatbot's responses as uncannily similar to what she wished to hear from her husband. She interpreted that fit as evidence that her husband might be covertly generating the messages and communicating indirectly through the system. The belief became fixed and resistant to challenge, then generalized to broader surveillance and thought-access beliefs: she reported the chatbot seemed to know what she was thinking before she typed. Prolonged late-night sessions produced chronic sleep deprivation, which the authors judge contributed significantly to the decompensation.
Treatment included antipsychotic medication, restoration of sleep, psychoeducation regarding AI functioning, reduction of chatbot engagement, and psychotherapy. Symptoms remitted gradually over subsequent weeks.
Three caveats are recorded here rather than hidden. The authors state causal relationships cannot be inferred, framing the case as a plausible convergence of personality style, relational vulnerability, caregiving and occupational stress, social withdrawal, and sleep disruption with the chatbot engagement. The report gives no event dates or patient location. Author affiliations do not establish where the case occurred. The chatbot platform is never named.
AI Behaviors Exhibited
- The patient described the chatbot as consistently attentive, empathic and emotionally validating during escalating use.
- She came to interpret its responses as covert communication from her husband and as evidence of surveillance or thought access.
- These are reported experiences; the article does not reproduce a conversation log or verify the platform’s internal safeguards.
Reported harm
A 30-year-old participant developed first-episode paranoid psychosis after about a year of escalating chatbot reliance and required antipsychotic treatment and reduced chatbot engagement as part of a broader treatment plan; causal contribution remains uncertain.
How Harm Occurred
The authors propose that escalating chatbot engagement interacted with relational stress, caregiving and occupational pressures, social withdrawal and sleep disruption. They also consider reverse causality and other causal directions. Reduced chatbot engagement was one element of a broader treatment plan. The case cannot establish which factors caused the episode or recovery.
Outcome
Resolved- 2026-02-21: Manuscript received by the Journal of Behavioral Addictions (a bibliographic date, not an event date)
- 2026-05-01: Accepted
- 2026-05-18: Published online open access (CC BY); print issue 15(2):533-539, July 15, 2026
- The patient was treated with antipsychotic medication, sleep restoration, psychoeducation about how AI systems work, reduction of chatbot engagement, and psychotherapy; symptoms remitted over several weeks, with residual marital concerns
Sources
Journal of Behavioral Addictions — Treuer T, Incze A, 'Chatbot relational dependence and psychosis risk: Conversational artificial intelligence as a potential behavioral addiction context' (PMID 42149657)(opens in new tab)
18 May 2026
PubMed Central full text (open access, PMC13371778)(opens in new tab)
18 May 2026
Publisher version of record (DOI)(opens in new tab)
18 May 2026
Location and source review
- Event countries
- Unknown
- Affected-person countries
- Unknown
- Court countries
- Unknown
Re-checked on 2026-10-11 against the complete article body (Europe PMC full-text XML of PMC13371778, read in English, about 34,400 characters after tag stripping). The section 'Illustrative clinical case' describes a 30-year-old married software developer, her stressors, about a year of escalating chatbot use and the remission, but names no country, city, clinic, hospital or treating service, and the article has no first-person 'we treated' or 'our clinic' statement that would place the patient. The only places in the body are the authors' affiliations (Semmelweis University, Budapest, Hungary; Pazmany Peter Catholic University, Budapest, Hungary), and an author affiliation does not locate an event or a patient. No legal proceeding is described, so there is no court country. All three roles remain reviewed unknowns.
Review evidence and remaining gaps
Source · Inspected · en. Fetched on 2026-10-11 (HTTP 200, 57,635 bytes of JATS XML, xml:lang="en"). Complete article body read, including 'Illustrative clinical case' and the ethics footnote 'Clinical material presented in this manuscript has been fully anonymized, and no identifiable patient information is included.' Dates in the body are bibliographic only (Received 2026 Feb 21; Revised 2026 Apr 11; Accepted 2026 May 1). No location for the patient or treatment is stated; Budapest and Hungary appear only in the author affiliations. The chatbot platform is not named.
Source · Unavailable · Language unknown. Fetched on 2026-10-11: HTTP 200 but the body is a reCAPTCHA browser check ('Checking your browser before accessing pmc.ncbi.nlm.nih.gov'), no article text. The Europe PMC XML carries the same PMC record.
Source · Unavailable · Language unknown. Fetched on 2026-10-11: HTTP 203 with a cookie-wall page ('Enable cookies for pubmed.ncbi.nlm.nih.gov'), no abstract text.
Source · Unavailable · Language unknown. Fetched on 2026-10-11: the DOI resolver chain ended in HTTP 405 with no article text; the publisher version was not inspected.
- The country where the patient was assessed and treated is not stated in the article; Hungarian author affiliations were not used as an event location.
- The article does not say whether the illustrative case is a single real patient or a composite; the ethics note says only that the material was fully anonymized.
- The authors state that causality cannot be established; this metadata review does not change the record's causal or verification status.
Metadata reviewed 2026-10-11. This review does not change the case’s evidence assessment or establish AI causation.
Framework
Interaction Concerns
Contributing Factors
People described
Unnamed 30-year-old married female software developer, mother of a two-year-old; no prior psychiatric history, no substance misuse, consistently high premorbid functioning
People reported harmed in this case
1 person
1 AI participant · 0 other people harmed
The illustrative clinical account describes one protected participant's psychosis, occupational decline and relationship difficulties.
Counted once within this case. The same person may appear in other cases. This count does not establish AI causation.
Tags
Cite this case
Compiled per our published methodology: verification statuses, sourcing standards, and corrections process.
APA
NOPE. (2026). Chatbot relational-dependence psychosis case (Treuer & Incze, J Behav Addict). AI incidents. https://nope.net/incidents/2026-hungary-chatbot-dependence-psychosis
BibTeX
@misc{2026_hungary_chatbot_dependence_psychosis,
title = {Chatbot relational-dependence psychosis case (Treuer \& Incze, J Behav Addict)},
author = {NOPE},
year = {2026},
howpublished = {AI incidents},
url = {https://nope.net/incidents/2026-hungary-chatbot-dependence-psychosis}
} Related cases
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