 Poisons
"Poisons" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Substances which, when ingested, inhaled, or absorbed, or when applied to, injected into, or developed within the body in relatively small amounts may, by their chemical action, cause damage to structure or disturbance of function. (From Dorland, 27th ed)
| Descriptor ID |
D011042
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| MeSH Number(s) |
D27.720.777 D27.888.569.612
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Poisons".
Below are MeSH descriptors whose meaning is more specific than "Poisons".
This graph shows the total number of publications written about "Poisons" by people in this website by year, and whether "Poisons" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2005 | 0 | 1 | 1 | | 2009 | 1 | 0 | 1 | | 2013 | 1 | 0 | 1 | | 2014 | 1 | 0 | 1 | | 2019 | 0 | 1 | 1 | | 2020 | 1 | 0 | 1 | | 2021 | 1 | 0 | 1 | | 2022 | 7 | 0 | 7 | | 2023 | 3 | 0 | 3 |
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Below are the most recent publications written about "Poisons" by people in Profiles.
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Dart RC, Mullins ME, Matoushek T, Ruha AM, Burns MM, Simone K, Beuhler MC, Heard KJ, Mazer-Amirshahi M, Stork CM, Varney SM, Funk AR, Cantrell LF, Cole JB, Banner W, Stolbach AI, Hendrickson RG, Lucyk SN, Sivilotti MLA, Su MK, Nelson LS, Rumack BH. Management of Acetaminophen Poisoning in the US and Canada: A Consensus Statement. JAMA Netw Open. 2023 08 01; 6(8):e2327739.
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Simon M, Heard K. Are antimuscarinic effects common in hydroxyzine overdose? A cohort analysis of antimuscarinic effects in hydroxyzine and diphenhydramine-poisoned patients. Clin Toxicol (Phila). 2023 05; 61(5):379-386.
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Mehrpour O, Saeedi F, Nakhaee S, Tavakkoli Khomeini F, Hadianfar A, Amirabadizadeh A, Hoyte C. Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. BMC Med Inform Decis Mak. 2023 04 06; 23(1):60.
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Mehrpour O, Nakhaee S, Saeedi F, Valizade B, Lotfi E, Nawaz MH. Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS). Environ Sci Pollut Res Int. 2023 Apr; 30(20):57801-57810.
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Lavery AM, Kieszak SM, Law R, Bronstein AC, Funk AR, Banerji S, Brown K, Sollee DR, Backer LC. Harmful Algal Bloom Exposures Self-reported to Poison Centers in the United States, May-October 2019. Public Health Rep. 2023 Nov-Dec; 138(6):865-869.
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King A, Fee M, McGlynn E, Marshall B, Akers KG, Hatten B. Timing of embolic phenomena after hydrogen peroxide exposure - a systematic review. Clin Toxicol (Phila). 2023 01; 61(1):12-21.
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Mehrpour O, Hoyte C, Delva-Clark H, Al Masud A, Biswas A, Schimmel J, Nakhaee S, Goss F. Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System. Basic Clin Pharmacol Toxicol. 2022 Dec; 131(6):566-574.
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Wang GS, Leonard J, Cornell A, Hoyte C. Adolescent US Poison Center Exposure Calls During the COVID-19 Pandemic. J Adolesc Health. 2022 12; 71(6):764-767.
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Palamar JJ, Cottler LB, Goldberger BA, Severtson SG, Grundy DJ, Iwanicki JL, Ciccarone D. Trends in characteristics of fentanyl-related poisonings in the United States, 2015-2021. Am J Drug Alcohol Abuse. 2022 07 04; 48(4):471-480.
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Mehrpour O, Hoyte C, Goss F, Shirazi FM, Nakhaee S. Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases. Drug Chem Toxicol. 2023 Nov; 46(4):692-698.
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