Best practices for CBT treatment of taboo and unacceptable thoughts in OCD
Bibliographic record
Abstract
Abstract Although general cognitive behavioural therapy (CBT) can help alleviate distress associated with obsessive-compulsive disorder (OCD), strategies tailored to targeting specific cognitions, feelings, and behaviours associated with OCD such as exposure and ritual prevention (Ex/RP) and cognitive therapy (CT) have been shown to be a significantly more effective form of treatment. Treatment of individuals with unacceptable/taboo obsessions requires its own specific guidelines due to the stigmatizing and often misunderstood nature of accompanying thoughts and behaviours. In this article, OCD expert practitioners describe best practices surrounding two of the longest standing evidence-based treatment paradigms for OCD, CT and Ex/RP, tailored specifically to unacceptable and taboo obsessions, so that clients may experience the best possible outcomes that are sustained once treatment ends. In addition, CT specifically targets obsessions while Ex/RP addresses compulsions, allowing the two to be highly effective when combined together. A wide range of clinical recommendations on clinical competencies is offered, including essential knowledge, psychoeducation, designing fear hierarchies and exposures, instructing the client through behavioural experiments, and relapse prevention skills. Key learning aims (1) To learn about the theoretical underpinnings of specialized approaches to treating taboo/unacceptable thoughts subtype of OCD with gold-standard CBT treatments, cognitive therapy (CT) and exposure and ritual prevention (Ex/RP). (2) To learn about recognizing and identifying commonly missed covert cognitive symptoms in OCD such as rumination and mental compulsions. (3) To learn how to assess commonly unrecognized behavioural symptoms in OCD such as concealment, reassurance seeking, searching on online forums, etc. (4) To gain a nuanced understanding of the phenomenology of the taboo/unacceptable thoughts OCD subtype and the cycles that maintain symptoms and impairment. (5) To learn about in-session techniques such as thought experiments, worksheets, fear hierarchies, and different types of exposures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".