Evidence map›Paper›PMID 34038441›Full record

ArticlePloS one2021

"Know your epidemic, know your response": Epidemiological assessment of the substance use disorder crisis in the United States.

Andrés Hernández, Minxuan Lan, Neil J MacKinnon, Adam J Branscum, Diego F Cuadros

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
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  5. Article
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  7. Article
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  9. Review
  10. Review
  11. Article
  12. Article
  13. Kansas Needs Psychiatric Subspecialists.Kansas journal of medicine · 2022
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrés HernándezHealth Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, Ohio, United States of America.ORCID 0000-0002-6436-1265
Minxuan LanDepartment of Geography and GIS, University of Cincinnati, Cincinnati, Ohio, United States of America.ORCID 0000-0002-4528-9544
Neil J MacKinnonDepartment of Population Health Sciences, Medical College of Georgia, Augusta, Georgia, United States of America.
Adam J BranscumDepartment of Biostatistics, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, United States of America.
Diego F CuadrosHealth Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, Ohio, United States of America.ORCID 0000-0001-7060-4203

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The United States (U.S.) is currently experiencing a substance use disorders (SUD) crisis with an unprecedented magnitude. The objective of this study was to recognize and characterize the most vulnerable populations at high risk of SUD mortality in the U.S., and to identify the locations where these vulnerable population are located. We obtained the most recent available mortality data for the U.S. population aged 15-84 (2005-2017) from the Centers for Diseases and Prevention (CDC). Our analysis focused on the unintentional substance poisoning to estimate SUD mortality. We computed health-related comorbidities and socioeconomic association with the SUD distribution. We identified the most affected populations and conducted a geographical clustering analysis to identify places with increased concentration of SUD related deaths. From 2005-2017, 463,717 SUD-related deaths occurred in the United States. White population was identified with the highest SUD death proportions. However, there was a surge of the SUD epidemic in the Black male population, with a sharp increase in the SUD-related death rate since 2014. We also found that an additional average day of mental distress might increase the relative risk of SUD-related mortality by 39%. The geographical distribution of the epidemic showed clustering in the West and Mid-west regions of the U.S. In conclusion, we found that the SUD epidemic in the U.S. is characterized by the emergence of several micro-epidemics of different intensities across demographic groups and locations within the country. The comprehensive description of the epidemic presented in this study could assist in the design and implementation of targeted policy interventions for addiction mitigation campaigns.

Indexed as

AdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk FactorsSocioeconomic FactorsSpatio-Temporal AnalysisSubstance-Related DisordersUnited StatesYoung Adult

Identifiers

PMID34038441
PMCPMC8153501

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.