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Record W4306749481 · doi:10.7759/cureus.30429

Rates and Patterns of Australian Emergency Department Presentations of People Who Use Stimulants: A Systematic Literature Review

2022· review· en· W4306749481 on OpenAlexaboutno aff
Peter T Redona, Cindy Woods, Debra Jackson, Kim Usher

Bibliographic record

VenueCureus · 2022
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicForensic Toxicology and Drug Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEcstasyStimulantMDMACINAHLPolysubstance dependenceEmergency departmentPsychiatrySystematic reviewTriageMental healthOccupational safety and healthMEDLINEPoison controlFamily medicineMedical emergencySubstance abusePsychological intervention

Abstract

fetched live from OpenAlex

The use of illicit stimulants continues to pose a significant challenge to different health sectors. In Australia, four particular stimulants, namely amphetamines and their derivatives, methamphetamine, ecstasy or 3,4-methylenedioxy-methamphetamine (MDMA), and cocaine cause a significant challenge to EDs as managing patients who use stimulants can be labor and resource intensive. While Australian data are available for stimulant-related ambulance attendances and hospitalizations, little is known about ED presentations of people who use stimulants. The aim of this paper is to systematically review the available literature related to the rates and patterns of ED presentations of people who use stimulants in Australia. A search was conducted on EBSCOhost, CINAHL Complete, and PubMed databases, as well as Google Scholar. Search terms consisted of combinations of the following terms: 1) stimulant AND ED AND Australia; 2) stimulants AND emergency presentations OR accident and emergency AND Australia, 3) amphetamine OR methamphetamine OR ecstasy OR cocaine AND ED AND Australia. Articles that met the inclusion criteria were included in the review and subjected to a quality appraisal. Data were extracted from the selected papers, including patient demographics, presentation rates, type of stimulant, reasons for presentations, police or ambulance service involvement, comorbidities, mental health issues, triage codes, admissions, and separations. The results of the review are reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies were eligible if they were English-language peer-reviewed articles published between January 2011 and December 2021 and if they included data on Australian ED presentations of people who use non-prescription illicit stimulants. Studies were excluded if they did not include stimulant-related ED presentations or focused on ED presentations related to prescription stimulants, including Ritalin and Adderall, non-stimulant drugs, or caffeine for attention deficit disorder (ADD) or attention-deficit hyperactivity disorder (ADHD). The selected articles were appraised for quality, rigor, and risk of bias by two authors. The studies were assessed using the Newcastle Ottawa Scale (NOS) for cross-sectional, cohort, and case-control studies depending on the methodology identified in the study. A total of 19 articles were included in this study. Males represented 53 to 85% of ED presentations of people who use stimulants with an age range of 0 to 65 and are more likely to be transported by police or ambulance. People who use stimulants presented to EDs with varying psychological and behavioral concerns such as psychosis, self-harm, suicidal ideations, hallucinations, agitations, and aggressiveness, as well as medical conditions, including heart palpitations, nausea and vomiting, and significant physical injuries.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.158
GPT teacher head0.477
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2022
Admission routes1
Has abstractyes

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