Evidence map›Paper›PMID 41610133›Full record

ArticleJournal of clinical psychology2026

From Exposure to Insight: Lessons From Five Contemporary OCD Cases and Where Treatment Should Go Next.

Jakob Fink-Lamotte

Abstract readComment
In one paragraph

Article in Journal of clinical psychology, 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Jakob Fink-LamotteClinical Psychology, University of Potsdam, Potsdam, Germany.ORCID 0000-0002-4384-4903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure and response prevention (ERP) remains the gold-standard psychotherapy for obsessive-compulsive disorder (OCD), yet real-world care is limited by dropout, partial response, relapse, and phenotypes that strain habituation-centric protocols. This commentary synthesizes five case reports that upgrade ERP not by replacing it, but by refining how inhibitory learning is taught and enacted. In the first case study Capel and Twohig 2025, Acceptance and Commitment Therapy (ACT) with values-based exposure shifted the goal from distress reduction to values-consistent action under aversive private events, boosting motivation and generalization. In the second case (Wille et al. 2025), VR-assisted avatar therapy externalized the OCD voice", boosting insight and resistance to compulsions and thereby unlocking ERP. In the third case (Micheli and Melli, 2026), addressing mental contamination, imagery rescripting reframed shame and disgust. In the fourth case (Jessup et al. 2024), ERP was tuned to emphasize clear expectancy violations and to vary contexts. In the fifth and final case study Fausting et al. 2025, the focus was on "innovative moments" during ERP. Noticing and amplifying these small, natural shifts ("exceptions") kept the client engaged and helped solidify new response patterns. Together, these vectors suggest a next wave of OCD care: precise personalization of ERP's mechanism (expectancy violation/inhibitory learning), process targets (motivation, insight, psychological flexibility and non-fear emotions like shame and disgust), and format (tech-assisted delivery), evaluated with mechanism-linked outcomes. Rather than "more ERP," the field should engineer better operating conditions for ERP-one explicit prediction, one values-anchored action, and one reinforced micro-gain at a time.

Indexed as

Acceptance and Commitment TherapyImplosive TherapyObsessive-Compulsive DisorderAdultFemaleHumansACTexpectancy violationexposure with response preventionmental contaminationobsessive‐compulsive disorder

Identifiers

PMID41610133
PMCPMC13064878

What OpenQuestion holds

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Registered trials

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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.