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Bath salt intoxication causing acute kidney injury requiring hemodialysis

2012· article· en· W2131612357 on OpenAlexvenueno aff
Hariharan Regunath, Venkatesh K. Ariyamuthu, Pranavkumar Dalal, Madhukar Misra

Bibliographic record

VenueHemodialysis International · 2012
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicForensic Toxicology and Drug Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmphetamineCathinoneMescalineHemodialysisDopaminePharmacologyToxicologyAnesthesiaInternal medicineHallucinogen

Abstract

fetched live from OpenAlex

Traditional bath salts contain a combination of inorganic salts like Epsom salts, table salt, baking soda, sodium metaphosphate, and borax that have cleansing properties. Since 2010, there have been rising concerns about a new type of substance abuse in the name of "bath salts." They are beta-ketone amphetamine analogs and are derivates of cathinone, a naturally occurring amphetamine analog found in the "khat" plant (Catha edulis). Effects reported with intake included increased energy, empathy, openness, and increased libido. Serious adverse effects reported with intoxication included cardiac, psychiatric, and neurological signs and symptoms. Not much is known about the toxicology and metabolism of these compounds. They inhibit monoamine reuptake (dopamine, nor epinephrine, etc.) and act as central nervous system stimulants with high additive and abuse potential because of their clinical and biochemical similarities to effects from use of cocaine, amphetamine, and 3,4-methylenedioxy-N-methylamphetamine. Deaths associated with use of these compounds have also been reported. We report a case of acute kidney injury associated with the use of "bath salt" pills that improved with hemodialysis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.059
GPT teacher head0.410
Teacher spread0.350 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations40
Published2012
Admission routes1
Has abstractyes

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