Background: Emergency Medical Services (EMS) data may provide insight into opioid overdose incidence, clinical characteristics, and medical response. This analysis describes patient characteristics, clinical features, and EMS response to opioid overdoses, comparing heroin and pharmaceutical opioid (PO) overdoses, using a structured opioid overdose case criteria definition.
Methods: A case series study was conducted. EMS medical staff screened cases for possible overdoses and study staff categorized the likelihood of opioid overdose. Medical form data were abstracted. Patient characteristics, clinical presentation, and medical response to heroin and PO-involved overdoses were compared with bi-variate test statistics.
Results: We identified 229 definite or probable opioid overdose cases over six months: heroin in 98 (43%) cases (10 also involved PO), PO without heroin in 85 (37%) cases, and 46 (20%) that could not be categorized and were excluded from analyses. Heroin overdose patients were younger than PO (median age 33 v 41 (p<0.05)), more often male (80% v 61% (p=<0.01)), intubated less (8% v 22%, p<0.01) and more likely to be administered naloxone (72% v 51%, p<0.01). No significant differences were found between heroin and PO overdoses for initial respiratory rate, Glasgow Coma Scale score, or co-ingestants, but heroin users were more likely to have miotic pupils (p<0.01).
Conclusions: While heroin and PO events presented similarly, heroin-involved cases were more likely to receive naloxone and less likely to be intubated. Standardized case definitions and data documentation could aid opioid overdose surveillance as well as provide data for measuring the impact of professional and lay interventions.
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http://dx.doi.org/10.1016/j.drugalcdep.2017.04.021 | DOI Listing |
Neurol Sci
December 2024
Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02115, USA.
Psychopharmacology (Berl)
December 2024
Department of Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, 47904, USA.
Rationale: The rise in overdose deaths from synthetic opioids, especially fentanyl, necessitates the development of preclinical models to study fentanyl use disorder (FUD). While there has been progress with rodent models, additional translationally relevant models are needed to examine excessive fentanyl intake and withdrawal signs.
Objective: The current study aimed to develop a translationally relevant preclinical mouse model of FUD by employing chronic intravenous fentanyl self-administration (IVSA).
Am J Emerg Med
December 2024
Icahn School of Medicine at Mount Sinai, Center for Research on Emerging Substances, Poisoning, Overdose, and New Discoveries (RESPOND), NYC Health + Hospitals/Elmhurst, New York, NY, USA.
Background: Tramadol is an adulterant of illicit opioids. As it is a serotonin-norepinephrine reuptake inhibitor as well as a μ-opioid agonist, tramadol adulteration may worsen overdose signs and symptoms or affect the amount of naloxone patients receive.
Methods: This is a multicenter, prospective cohort of adult patients with suspected opioid overdoses who presented to one of eight United States emergency departments and were included in the Toxicology Investigators Consortium's Fentalog Study.
J Stud Alcohol Drugs
December 2024
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI.
Objective: Despite an abundance of public discourse about the opioid crisis in the media, there is little research characterizing opioid-related content on TikTok, a popular video-based social media platform. This study sought to examine how opioids are portrayed on TikTok.
Methods: This study used mixed-methods to analyze top opioid-related posts marked with the hashtag "#opioids" collected in May 2023.
Inj Prev
December 2024
Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: The Centers for Disease Control and Prevention's Drug Overdose Surveillance and Epidemiology (DOSE) system captures non-fatal overdose data from health departments' emergency department (ED) and inpatient hospitalisation discharge data; however, these data have not been compared with other established state-level surveillance systems, which may lag by several years depending on the state. This analysis compared non-fatal overdose rates from DOSE discharge data with rates from the Healthcare Cost and Utilization Project (HCUP) in order to compare DOSE data against an established dataset.
Methods: DOSE discharge data case definitions (ie, International Classification of Diseases, 10th revision, Clinical Modification codes) for non-fatal unintentional/undetermined intent all drug, all opioid-involved, heroin-involved and stimulant-involved overdoses were applied to HCUP's 2018-2020 State Emergency Department Databases (SEDD) and State Inpatient Databases (SID).
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