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A latent class analysis of drug and substance use patterns among patients treated in emergency departments for suspected drug overdose

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Addict Behav
  • Personal Author:
  • Description:
    Introduction:

    Polysubstance use and misuse can increase risks for nonfatal and fatal drug overdose. To categorize drugs used in combination in nonfatal overdoses, we analyzed data from emergency department (ED) overdose-related visits in 18 states funded by CDC’s Enhanced State Opioid Overdose Surveillance (ESOOS) program.

    Methods:

    From 2017 to 2018, 120,706 ED visits included at least one hospital discharge code indicating acute drug poisoning for opioids, stimulants, hallucinogens, cannabis, anti-depressants, sedatives, alcohol, benzodiazepines, or other psychotropic drugs. Latent class analyses were conducted to determine the groupings of drug combinations in overdose visits.

    Results:

    Latent class analyses indicated a model of 5 classes – mostly heroin overdose (42.5% of visits); mostly non-heroin opioid overdose/use (27.3%); opioid, polysubstance (11.0%); female, younger (< 25 years), other non-opioid drugs (10.5%); female, older (> 55 years), benzodiazepine (8.0%). Findings indicated that heroin continues to be a large burden to EDs, yet EDs are also seeing overdose survivors with polydrug toxicity.

    Conclusions:

    Medication-assisted treatment could be initiated in the emergency department following overdose for patients with opioid use disorder, and post-overdose protocols, such as naloxone provision and linkage to treatment and harm reduction services, have the potential to prevent future overdose for those at risk.

  • Subjects:
  • Keywords:
  • Source:
    Addict Behav. 101:106142
  • Pubmed ID:
    31639639
  • Pubmed Central ID:
    PMC11218817
  • Document Type:
  • Funding:
  • Volume:
    101
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:bd2534e26ea92f18044b548ef78f9fa7578b88b50acdc789f924e3474d2590b4
  • Download URL:
  • File Type:
    Filetype[PDF - 454.65 KB ]
File Language:
English
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