# Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/outcome-prediction-of-methadone-poisoning-in-the-united-states-implications-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Omid Mehrpour,Farhad Saeedi,Varun Vohra,Christopher Hoyte |
| Citations | 8 |
| DOI | 10.1080/01480545.2023.2277128 |
| Fields | Medicine,Pharmacology, Toxicology and Pharmaceutics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4388538562 |
| PMID | 37941394 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Varun Vohra](https://scholariq.org/researchers/varun-vohra/)

## Paper primary topic

- [Opioid Use Disorder Treatment](https://scholariq.org/topics/opioid-use-disorder-treatment/)

## Paper topics

- [Opioid Use Disorder Treatment](https://scholariq.org/topics/opioid-use-disorder-treatment/)
- [Pain Management and Opioid Use](https://scholariq.org/topics/pain-management-and-opioid-use/)
- [Forensic Toxicology and Drug Analysis](https://scholariq.org/topics/forensic-toxicology-and-drug-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.