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Central Basis For MDMA (ecstasy) Induced Hyponatremia

2023· article· en· W4378649792 on OpenAlexaffabout
Joshua C. Wyrosdic, Zahra S. Thirouin, Charles W. Bourque

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldPsychology
TopicNeuroendocrine regulation and behavior
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMDMAEcstasyHyponatremiaIngestionMedicineMethamphetamineHallucinogenAmphetaminePsychologyAnesthesiaPsychiatryPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

Clinical studies have shown that hyponatremia can be induced by the ingestion of the recreational drug MDMA (3,4-Methyl​enedioxy​methamphetamine, ecstasy) when combined with a water intake (Baggot et al., 2016). However, the mechanisms by which MDMA induces hyponatremia is unknown. Hyponatremia is a life-threatening condition that causes rapid swelling of the brain and is commonly encountered in critical care medicine (emergency) (Woods et al., 1993 & Kirch, Bigelow, Weinberger, 1985). Under the Controlled Drugs and Substances Act (CDSA), MDMA is a schedule 1 drug (illegal) and consumption usually occurs at dance parties or raves. Nonetheless, despite MDMA’s scheduling, the Multidisciplinary Association for Psychedelic Studies (MAPS) has headed the movement toward using MDMA for assisted psychotherapy for PTSD (Sessa, Higbed, & Nutt, 2019). In summary, with a prevalence of 3.5% of young adults 18-25 years old using MDMA in the United States in 2014 (Betzler, Viohl, & Romanczuk-Seiferth, 2017), along with the mainstream marketing of MDMA for PTSD, combined with very serious and potentially deathly side effects makes this substance worthwhile to investigate. Findings could not only aid in MDMA associated hyponatremia but could also provide the foundation clinically for fluid regulation during MDMA assisted psychotherapy. Clinically, ingestion of MDMA has been shown to cause an increase in the hormones vasopressin and oxytocin (Wolf et al., 2006). Therefore, we examined cFos activity in male rats, we show that there is an increase in both cFos activation of vasopressin as well as oxytocin neurons of the supra optic nucleus. Next, we wanted to test the notion that MDMA causes an increase in thirst. Our data shows that an injection of MDMA does not increase drinking behavior. Combatting the conventional thinking that MDMA causes an increase in thirst. Interestingly, in line with the human literature, when you combine MDMA with a gastric water load, it is sufficient to drop serum sodium levels to hyponatremic levels i.e. <135mmol/L. Indicating that a water load combined with MDMA is necessary for MDMA induced hyponatremia. Conventionally, MDMA has been shown to increase the amount of serotonin within the synaptic cleft, via the inhibition of uptake via the serotonin transporter (Oeri, 2021). To determine if MDMA is working via the release of 5HT in a temperature-controlled environment we utilized whole cell patch clamp slice electrophysiology of male double transgenic Wistar rats enabling fluorescent identification of vasopressin and oxytocin neurons. Interestingly, at a bath temperature of a constant 30°C, a bath application of 5HT was sufficient in causing an enhancement of action potential firing, and this could be blocked by a 5HT receptor antagonist. Moreover, a bath application of MDMA also caused an increase in action potential firing, which too could be blocked by a 5HT receptor antagonist. CIHR. HBHL, McGill Faculty of Medicine This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.083
GPT teacher head0.376
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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