Maladaptive or misunderstood? Dopamine fasting as a potential intervention for behavioral addiction
Bibliographic record
Abstract
Abstract In this commentary, we strive to illustrate common misconceptions of the dopamine fasting fad that has become popular among wellness enthusiasts and purported by health gurus. Here, we review the proposed Dopamine fasting technique for managing behavioral addictions as proposed by California psychiatrist Dr. Cameron Sepah. We first summarize correct and incorrect interpretations of what Dopamine fasting involves. Next, we contextualize the role of dopamine as it relates to behavioral modification interventions for addiction. Particularly, we discuss the role of dopamine in behavioral addiction and the effectiveness of cognitive behavioral therapy (CBT) techniques for various addictions which are the basis of the proposed dopamine fasting technique. While we see potential for dopamine fasting to offer significant benefits to individuals, we highlight the limitation of the self‐guided aspect of dopamine fasting, which could pose physical and emotional harm to individuals if the guideline is misinterpreted or misused as the sole treatment for severe disorders which require clinician input. Future studies should aim to assess not only the scientific efficacy of dopamine fasting as a potential treatment approach for behavioral addiction, but also the needs and well‐being of individuals who seek self‐directed treatment from popular media trends.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".