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Addiction (Abingdon, England)
|
April 9, 2024
Broad evidence of xylazine in the UK illicit drug market beyond heroin supplies: Triangulating from toxicology, drug-testing and law enforcement
Caroline S Copeland, Kathleen Rice, Kirsten L Rock, et al.
Emergency Medicine Journal : EMJ
|
June 4, 2025
Nitazene detections and clinical characteristics: data from a prospective observational study in a Glasgow emergency department
Rufus Turner, Lisa Christine Dunlop, David John Lowe, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
June 3, 2021
Detection of flubromazolam in patients with suspected non-medical drug use attending emergency departments in the United Kingdom
Mark Haden, Josephine Cashman, Andrew Ketchin, et al.
Clinical Chemistry
|
March 10, 2022
Machine Learning to Assist in Large-Scale, Activity-Based Synthetic Cannabinoid Receptor Agonist Screening of Serum Samples
Liesl K Janssens, Dimitri Boeckaerts, Simon Hudson, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
April 20, 2017
Analytical confirmation of synthetic cannabinoids in a cohort of 179 presentations with acute recreational drug toxicity to an Emergency Department in London, UK in the first half of 2015
Rachelle Abouchedid, Simon Hudson, Natalie Thurtle, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
February 8, 2026
Is nitazene-related mortality underestimated? Findings from an <i>in vivo</i> and <i>ex vivo</i> rat study and pharmacoepidemiological analysis of coroner-reported deaths
Shuoqi Chen, Daniyar Aldabergenov, Khalid S Alotaibi, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
November 2, 2022
Accuracy of substance exposure history in patients attending emergency departments after substance misuse; a comparison with biological sample analysis
Ishita Virmani, Alberto Oteo, Michael Dunn, et al.
Frontiers in Public Health
|
December 22, 2025
Data science without borders: bridging the divide in data science capacity across African health institutions
Agnes N Kiragga, Samuel Iddi, Abel W Walekhwa, et al.
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of 4
Search research articles
Search
Showing results (31-40 of 38) with videos related to
Sort By:
Page
of 4
You have reached the last page of results.
This site can display upto 38 results.
Addiction (Abingdon, England)
|
April 9, 2024
Broad evidence of xylazine in the UK illicit drug market beyond heroin supplies: Triangulating from toxicology, drug-testing and law enforcement
Caroline S Copeland, Kathleen Rice, Kirsten L Rock, et al.
Emergency Medicine Journal : EMJ
|
June 4, 2025
Nitazene detections and clinical characteristics: data from a prospective observational study in a Glasgow emergency department
Rufus Turner, Lisa Christine Dunlop, David John Lowe, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
June 3, 2021
Detection of flubromazolam in patients with suspected non-medical drug use attending emergency departments in the United Kingdom
Mark Haden, Josephine Cashman, Andrew Ketchin, et al.
Clinical Chemistry
|
March 10, 2022
Machine Learning to Assist in Large-Scale, Activity-Based Synthetic Cannabinoid Receptor Agonist Screening of Serum Samples
Liesl K Janssens, Dimitri Boeckaerts, Simon Hudson, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
April 20, 2017
Analytical confirmation of synthetic cannabinoids in a cohort of 179 presentations with acute recreational drug toxicity to an Emergency Department in London, UK in the first half of 2015
Rachelle Abouchedid, Simon Hudson, Natalie Thurtle, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
February 8, 2026
Is nitazene-related mortality underestimated? Findings from an <i>in vivo</i> and <i>ex vivo</i> rat study and pharmacoepidemiological analysis of coroner-reported deaths
Shuoqi Chen, Daniyar Aldabergenov, Khalid S Alotaibi, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
November 2, 2022
Accuracy of substance exposure history in patients attending emergency departments after substance misuse; a comparison with biological sample analysis
Ishita Virmani, Alberto Oteo, Michael Dunn, et al.
Frontiers in Public Health
|
December 22, 2025
Data science without borders: bridging the divide in data science capacity across African health institutions
Agnes N Kiragga, Samuel Iddi, Abel W Walekhwa, et al.
Page
of 4