Could the use of energy drinks induce manic or depressive relapse among abstinent substance use disorder patients with comorbid bipolar spectrum disorder?
Bibliographic record
Abstract
Rizkallah É, Bélanger M, Stavro K, Dussault M, Pampoulova T, Chiasson J‐P, Potvin S. Could the use of energy drinks induce manic or depressive relapse among abstinent substance use disorder patients with comorbid bipolar spectrum disorder? Bipolar Disord 2011: 13: 578–580. © 2011 The Authors. Journal compilation © 2011 John Wiley & Sons A/S. Objective: The potential harmful effects of excessive caffeine consumption remain largely unknown among psychiatric populations. Energy drinks have particularly high levels of caffeine content and have previously been shown to induce psychotic relapse. Clinical observations of three bipolar disorder patients with comorbid substance use disorder revealed an excessive consumption of energy drinks prior to manic or depressive relapse. Background: Three patients with bipolar spectrum disorder and comorbid substance use disorder were assessed by a psychiatrist upon re‐admission to a rehabilitation centre following manic or depressive relapse. The assessment was based on DSM‐IV criteria and performed by a psychiatrist who specialized in bipolar spectrum disorder and comorbidities to determine the presence of manic or depressive relapse. Two patients were diagnosed with bipolar disorder type I, and the third with bipolar disorder type II. All three patients were diagnosed with comorbid substance use disorders and all three abused cocaine. Results: In all three cases, relapse occurred following at least one week of excessive binging on energy drinks, with a maximum daily consumption of nine cans. Following cessation of energy drink consumption, two of the patients remained abstinent from drug use and maintained psychiatric stability. One patient relapsed three months post‐treatment and resumed consuming cocaine and energy drinks. Conclusions: These clinical observations support other case reports that suggest the existence of a potential correlation between excessive energy drink consumption and relapse among psychiatric populations.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".