Literature DB >> 18512264

Recent changes in drug poisoning mortality in the United States by urban-rural status and by drug type.

Leonard J Paulozzi1, Yongli Xi.   

Abstract

PURPOSE: This study was conducted to determine how the recently reported increase in drug poisoning mortality rates in the United States varied by degree of urbanization. Although drug poisoning is traditionally seen as an urban problem, evidence suggested that at least one component of the recent increase, deaths involving opioid analgesics, was increasing more rapidly in rural areas.
METHODS: The study compared age-adjusted unintentional and undetermined drug poisoning mortality rates between 1999 and 2004 from the National Vital Statistics System (NVSS) in each of six urban-rural categories.
RESULTS: Unintentional and undetermined drug poisoning mortality rates rose 62% from 1999 to 2004. Metropolitan county rates rose 51%, an increase of 2.66/100,000, while nonmetropolitan county rates rose 159%, an increase of 4.81/100,000. By 2004, metropolitan and nonmetropolitan drug poisoning rates had roughly equalized. In the narcotic drug category, which included heroin, cocaine, and opioid analgesics, the most urban ("large central metro") counties increased only 16% while the most rural ("noncore, nonmetropolitan") counties increased 248%. Heroin rates did not increase significantly for any urban-rural category. Cocaine rate increases were largest in nonmetropolitan counties. Opioid analgesic rate increases ranged from a low of 52% in large central metro counties to an increase of 371% in nonmetropolitan, noncore counties.
CONCLUSIONS: Prescription drugs have replaced heroin and cocaine as the leading drugs involved in fatal drug overdoses in all urban-rural categories. Fatal drug overdoses are no longer a predominantly urban phenomenon. National prevention efforts will have to shift to address nontraditional populations using nontraditional drugs.

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Substances:

Year:  2008        PMID: 18512264     DOI: 10.1002/pds.1626

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  112 in total

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2.  Increasing pregnancy-related use of prescribed opioid analgesics.

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3.  OxyContin use on a rural midwest American Indian reservation: demographic correlates and reasons for using.

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4.  Racial and ethnic differences in opioid agonist treatment for opioid use disorder in a U.S. national sample.

Authors:  Noa Krawczyk; Kenneth A Feder; Michael I Fingerhood; Brendan Saloner
Journal:  Drug Alcohol Depend       Date:  2017-07-11       Impact factor: 4.492

5.  Understanding the rural-urban differences in nonmedical prescription opioid use and abuse in the United States.

Authors:  Katherine M Keyes; Magdalena Cerdá; Joanne E Brady; Jennifer R Havens; Sandro Galea
Journal:  Am J Public Health       Date:  2013-12-12       Impact factor: 9.308

6.  PREDOSE: a semantic web platform for drug abuse epidemiology using social media.

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7.  Disparity in naloxone administration by emergency medical service providers and the burden of drug overdose in US rural communities.

Authors:  Mark Faul; Michael W Dailey; David E Sugerman; Scott M Sasser; Benjamin Levy; Len J Paulozzi
Journal:  Am J Public Health       Date:  2015-04-23       Impact factor: 9.308

8.  High-Risk Prescribing to Medicaid Enrollees Receiving Opioid Analgesics: Individual- and County-Level Factors.

Authors:  Sara E Heins; Mark J Sorbero; Christopher M Jones; Andrew W Dick; Bradley D Stein
Journal:  Subst Use Misuse       Date:  2018-01-05       Impact factor: 2.164

9.  Opioid overdose prevention through pharmacy-based naloxone prescription program: Innovations in health care delivery.

Authors:  Amy Bachyrycz; Shikhar Shrestha; Barry E Bleske; Dale Tinker; Ludmila N Bakhireva
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10.  The role of opioid prescription in incident opioid abuse and dependence among individuals with chronic noncancer pain: the role of opioid prescription.

Authors:  Mark J Edlund; Bradley C Martin; Joan E Russo; Andrea DeVries; Jennifer B Braden; Mark D Sullivan
Journal:  Clin J Pain       Date:  2014-07       Impact factor: 3.442

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