Evidence map›Paper›PMID 41141286›Full record

ArticleInternet interventions2025

Commentary: AI psychosis is not a new threat: Lessons from media-induced delusions.

Per Carlbring, Gerhard Andersson

Abstract read
In one paragraph

Article in Internet interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Review
  6. Observational
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  11. Article
  12. Chatbots, delusions, and treatment failure.Journal of psychiatry & neuroscience : JPN · 2026
    Article
  13. Article
  14. Article
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.

Per CarlbringDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Gerhard AnderssonDepartment of Behavioural Sciences and Learning (IBL), Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reports of artificial intelligence (AI) chatbots fueling delusions in vulnerable users have popularized the notion of "AI psychosis". We argue the risk is not unprecedented. Individuals with psychosis have long incorporated books, films, music, and emerging technologies into their delusional thinking. Methods: We review historical parallels, summarize why large language models (LLMs) may reinforce psychotic thinking via sycophancy (excessive agreement or flattery to avoid confrontation), and provide two vignettes contrasting unsafe and safe responses. Results: Contemporary LLMs often avoid confrontation and may collude with delusions, contrary to clinical best practice. Conclusion: The phenomenon is not new in principle, but interactivity potentially changes the risk profile. Clinically aware LLMs that detect and gently redirect early psychotic ideation, while encouraging professional help seeking, could reduce harm. Design should be guided by therapeutic principles and evidence about current model failures.

Indexed as

DelusionsLarge language modelsPsychosisSafety by designSycophancyTherapeutic alliance

Identifiers

PMID41141286
PMCPMC12550315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.