The effects of repetitive transcranial magnetic stimulation on cue-induced craving in male patients with heroin use disorder
Bibliographic record
Abstract
BACKGROUND: Craving is a central feature of addiction. Early evidence suggests that repetitive transcranial magnetic stimulation is effective in reducing cue induced craving for patients with opioid use disorder (OUD). However, trials in large populations of patients with OUDs are lacking. METHODS: We randomly assigned 118 male heroin patients into three groups (i.e., 10 Hz rTMS, 1 Hz rTMS and a wait-list control group) from two addiction rehabilitation centers. rTMS was applied to the left dorsolateral prefrontal cortex (DLPFC) for 20 daily consecutive sessions. FINDINGS: Results showed that 10 Hz rTMS and 1 Hz rTMS were both effective in reducing cue-induced craving scores in heroin users when compared to the wait list group. The treatment effects lasted for up to 60 days after rTMS treatment cessation. INTERPRETATION: Our results suggest that rTMS applied to the DLPFC is effective in reducing craving severity in heroin use disorder patients. Our results also suggest that such treatment effects can last for up to 60 days after treatment cessation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".