Beyond Highs and Lows: Unraveling Cannabis Withdrawal‐Induced Mania—A Two‐Year Observational Study of Hospital Admissions From 2015 to 2019
Bibliographic record
Abstract
ABSTRACT Introduction Bipolar disorder (BD) is a chronic and recurrent psychiatric illness characterized by alternating episodes of mania and/or hypomania and depression. The endocannabinoid system (ECS) is a vast network of chemical signals and cellular receptors that are densely packed throughout the brain. It is involved in the most critical central nervous system functions, such as learning and memory, and also mood regulation. Despite this, there is only anecdotal evidence on the potential role of the ECS in the pathophysiology of BD. Objectives This study aims to retrospectively assess clinical and sociodemographic variables of patients who presented a manic episode that was chronologically associated with the suspension of cannabis use, compared to patients with a manic episode with no relation to cannabis use or suspension. The objective of the study is to investigate the presence of a specific group of patients with BDs, with potential clinical and therapeutic implications. Methods We retrospectively evaluated all admitted patients to the acute psychiatry unit at Hospital Clinic of Barcelona from 2015 to 2019 who were hospitalized for a manic episode. Cannabis withdrawal‐induced mania (CWIM) was considered if cessation of regular cannabis use up to 21 days before the initial manic symptoms was mentioned in clinical and toxicological history and symptoms were prolonged for longer than 15 days after cessation. We used descriptive statistics to extract most of the information. Results Between 2015 and 2019, 282 patients were admitted to the acute psychiatry unit with a diagnosis of a manic episode. Twenty of them (7.09%) met criteria for CWIM, and they were compared retrospectively with the rest of the patients with non‐cannabis related manic ( n = 262). Patients with CWIM group were more frequently men ( p = 0.015) and younger ( p < 0.001), were not married or in a relationship ( p = 0.018) and less frequently had somatic illnesses ( p = 0.041) compared to patients with non‐cannabis‐related manic. Moreover, patients with CWIM had their first manic episode and had their first psychiatry admission at a significantly younger age compared with the other group ( p = 0.008 and p = 0.004, respectively). Previous treatment with any antipsychotic medication was significantly less frequent in the CWIM group ( p = 0.022). According to follow‐up, there were no significant differences in relapse after 3 years ( p = 0.936) among the two groups. Conclusions This study found a new clinical profile of patients who are more suggestive to have a manic episode in the context of cannabis withdrawal among bipolar patients. The existence of such a profile, mainly young men with no previous psychiatric history, might be in relation to the role of the ECS, almost neglected in BD until now. These characteristics suggest a substance‐secondary origin of manic episodes, with presumably less genetic charge and a better outcome if primary prevention substance‐related therapies are taken into consideration during treatment. Our data could encourage basic and clinical studies to determine how cannabis and cannabinoids (CBs) can affect mood and to investigate emerging CB‐based options as probable treatment approaches.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".