How can we investigate the role of topiramate in the treatment of cocaine use disorder more thoroughly?
Bibliographic record
Abstract
We read with interest Darke & Farrell's 1 commentary on our meta-analysis of topiramate published in the eighth issue of 2016 2. To elaborate on some of the ideas raised by the commentary, we focus our response on the question of why some studies implied a benefit and others did not. Overall, although the current evidence is not strong enough to support the routine clinical use of topiramate for the treatment of cocaine use disorder, in certain circumstances it may be useful for researching in terms of helping people with cocaine use disorders to stay abstinent from cocaine use. A possible explanation for the negative findings among the studies may lay in different study designs and populations in the American 3-6 versus the Dutch 7 trials. The diverse study designs ranged from three double-blinded, placebo-controlled trials through the Dutch open label, non-placebo-controlled trial to a four-arm trial combined with contingency management (monetary vouchers), lasting for 18 weeks 7. Other issues with allocation concealment and attrition bias clearly weakened the study designs. Moreover, the outcome measures were not identical across trials that made them less amenable to meta-analysis. For instance, all trials used different craving scales: craving was assessed using the Brief Craving Scale 3, the Minnesota Cocaine Craving Scale 4, the Brief Substance Craving and Cocaine Selective Severity Assessment Scale 5, the Cocaine Selective Severity Assessment Scale 6 and via the adapted Obsessive Compulsive Drinking Scale 7. In terms of population diversity, most trials excluded people who had a concurrent use disorder on drugs other than cocaine; however, the excluded substance use disorders varied among the trials. For example, while Umbricht et al. 6 included people receiving methadone who also had a concurrent cocaine use disorder, Kampman et al. 4 included people with concurrent alcohol and cocaine use disorder. Apart from being an open-label design, the only Dutch trial also differed in several other ways: (i) the baseline cocaine use was higher, (ii) the maximal dose of topiramate was lower (200 mg/day) and (iii) the titration period was shorter (3 versus 8 weeks in the American trials). Furthermore, the included Dutch study implied that some type of adherence support intervention is necessary for pharmacotherapeutic approaches to managing cocaine use disorders 7. In this regard, as contingency management shows promise in the treatment of cocaine use disorder 8-10, it would be interesting to see how topiramate might perform in the context of an adherence-supporting contingency management intervention involving topiramate in comparison to placebo. Robust evaluations of this kind require uniform outcome measures and comparable populations that are amenable to pooling in meta-analyses and that may come later, as the literature on this molecule matures. Until such designs arrive, we will still keep ‘searching for the answer’ to the open question about the role of topiramate in the cocaine use disorder treatment, as posed in Darke & Farrell's commentary 1. None. The meta-analysis was not funded by an external source. The authors would like to thank the Addiction Medicine Fellowship program at St Paul's hospital for supporting this manuscript. Jan Klimas is supported by the ELEVATE grant: Irish Research Council International Career Development Fellowship, co-funded by Marie Curie Actions (ELEVATEPD/2014/6) and the European Commission grant (701698). This research was undertaken, in part, thanks to funding for a Tier 1 Canada Research Chair in Inner City Medicine, which supports E.W. D.W. is supported by a US National Institute on Drug Abuse Avenir Award (DP2 DA040256-01) and the Canadian Institutes of Health Research (MOP 79297).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".