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      Estimating the impact of drug use on US mortality, 1999-2016

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          Abstract

          The impact of rising drug use on US mortality may extend beyond deaths coded as drug-related to include excess mortality from other causes affected by drug use. Here, we estimate the full extent of drug-associated mortality. We use annual death rates for 1999–2016 by state, sex, five-year age group, and cause of death to model the relationship between drug-coded mortality—which serves as an indicator of the population-level prevalence of drug use—and mortality from other causes. Among residents aged 15–64 living in the 50 US states, the estimated number of drug-associated deaths in 2016 (141,695) was 2.2 times the number of drug-coded deaths (63,000). Adverse trends since 2010 in midlife mortality are largely attributable to drug-associated mortality. In the absence of drug use, we estimate that the probability of dying between ages 15 and 65 would have continued to decline after 2010 among men (to 15% in 2016) and would have remained at a low level (10%) among women. Our results suggest that an additional 3.9% of men and 1.8% of women died between ages 15 and 65 in 2016 because of drug use. In terms of life expectancy beyond age 15, we estimate that drug use cost men 1.4 years and women 0.7 years, on average. In the hardest-hit state (West Virginia), drug use cost men 3.6 and women 1.9 life years. Recent declines in US life expectancy have been blamed largely on the drug epidemic. Consistent with that inference, our results imply that, in the absence of drug use, life expectancy at age 15 would have increased slightly between 2014 and 2016. Drug-associated mortality in the US is roughly double that implied by drug-coded deaths alone. The drug epidemic is exacting a heavy cost to American lives, not only from overdoses but from a variety of causes.

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          Prevalence, correlates, disability, and comorbidity of DSM-IV drug abuse and dependence in the United States: results from the national epidemiologic survey on alcohol and related conditions.

          Current and comprehensive information on the epidemiology of DSM-IV 12-month and lifetime drug use disorders in the United States has not been available. To present detailed information on drug abuse and dependence prevalence, correlates, and comorbidity with other Axis I and II disorders. Face-to-face interviews using the Alcohol Use Disorder and Associated Disabilities Interview Schedule of the National Institute on Alcohol Abuse and Alcoholism in a large representative sample of US adults (N=43093). Twelve-month and lifetime prevalence of drug abuse and dependence and the associated correlates, treatment rates, disability, and comorbidity with other Axis I and II disorders. Prevalences of 12-month and lifetime drug abuse (1.4% and 7.7%, respectively) exceeded rates of drug dependence (0.6% and 2.6%, respectively). Rates of abuse and dependence were generally greater among men, Native Americans, respondents aged 18 to 44 years, those of lower socioeconomic status, those residing in the West, and those who were never married or widowed, separated, or divorced (all P<.05). Associations of drug use disorders with other substance use disorders and antisocial personality disorder were diminished but remained strong when we controlled for psychiatric disorders. Dependence associations with most mood disorders and generalized anxiety disorder also remained significant. Lifetime treatment- or help-seeking behavior was uncommon (8.1%, abuse; 37.9%, dependence) and was not associated with sociodemographic characteristics but was associated with psychiatric comorbidity. Most individuals with drug use disorders have never been treated, and treatment disparities exist among those at high risk, despite substantial disability and comorbidity. Comorbidity of drug use disorders with other substance use disorders and antisocial personality disorder, as well as dependence with mood disorders and generalized anxiety disorder, appears to be due in part to unique factors underlying each pair of these disorders studied. The persistence of low treatment rates despite the availability of effective treatments indicates the need for vigorous educational efforts for the public and professionals.
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            Changing dynamics of the drug overdose epidemic in the United States from 1979 through 2016

            Better understanding of the dynamics of the current U.S. overdose epidemic may aid in the development of more effective prevention and control strategies. We analyzed records of 599,255 deaths from 1979 through 2016 from the National Vital Statistics System in which accidental drug poisoning was identified as the main cause of death. By examining all available data on accidental poisoning deaths back to 1979 and showing that the overall 38-year curve is exponential, we provide evidence that the current wave of opioid overdose deaths (due to prescription opioids, heroin, and fentanyl) may just be the latest manifestation of a more fundamental longer-term process. The 38+ year smooth exponential curve of total U.S. annual accidental drug poisoning deaths is a composite of multiple distinctive subepidemics of different drugs (primarily prescription opioids, heroin, methadone, synthetic opioids, cocaine, and methamphetamine), each with its own specific demographic and geographic characteristics.
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              Mortality among people who inject drugs: a systematic review and meta-analysis

              OBJECTIVE: To systematically review cohort studies of mortality among people who inject drugs, examine mortality rates and causes of death in this group, and identify participant- and study-level variables associated with a higher risk of death. METHODS: Tailored search strings were used to search EMBASE, Medline and PsycINFO. The grey literature was identified through online grey literature databases. Experts were consulted to obtain additional studies and data. Random effects meta-analyses were performed to estimate pooled crude mortality rates (CMRs) and standardized mortality ratios (SMRs). FINDINGS: Sixty-seven cohorts of people who inject drugs were identified, 14 of them from low- and middle-income countries. The pooled CMR was 2.35 deaths per 100 person-years (95% confidence interval, CI: 2.12-2.58). SMRs were reported for 32 cohorts; the pooled SMR was 14.68 (95% CI: 13.01-16.35). Comparison of CMRs and the calculation of CMR ratios revealed mortality to be higher in low- and middle-income country cohorts, males and people who injected drugs that were positive for human immunodeficiency virus (HIV). It was also higher during off-treatment periods. Drug overdose and acquired immunodeficiency syndrome (AIDS) were the primary causes of death across cohorts. CONCLUSION: Compared with the general population, people who inject drugs have an elevated risk of death, although mortality rates vary across different settings. Any comprehensive approach to improving health outcomes in this group must include efforts to reduce HIV infection as well as other causes of death, particularly drug overdose.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                15 January 2020
                2020
                : 15
                : 1
                : e0226732
                Affiliations
                [1 ] Center for Population and Health, Georgetown University, Washington, DC, United States of America
                [2 ] Sociology, University of Pennsylvania, Philadelphia, PA, United States of America
                UCIBIO-REQUIMTE, Faculty of Pharmacy, University of Porto, PORTUGAL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2865-9355
                Article
                PONE-D-19-25601
                10.1371/journal.pone.0226732
                6961845
                31940370
                635e63e8-2611-4d95-87d3-2fe70b1d355a
                © 2020 Glei, Preston

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 September 2019
                : 4 December 2019
                Page count
                Figures: 4, Tables: 2, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: 1R01AG060115
                Funded by: funder-id http://dx.doi.org/10.13039/100008064, Georgetown University;
                Award Recipient :
                This work was supported by grant 1R01AG060115 to the University of Pennsylvania from the National Institute on Aging and by the Graduate School of Arts and Sciences, Georgetown University.
                Categories
                Research Article
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Life Expectancy
                Medicine and Health Sciences
                Public and Occupational Health
                Life Expectancy
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Lung and Intrathoracic Tumors
                People and Places
                Population Groupings
                Age Groups
                People and places
                Geographical locations
                North America
                United States
                People and places
                Geographical locations
                North America
                United States
                West Virginia
                Biology and Life Sciences
                Psychology
                Addiction
                Addicts
                Drug Users
                Social Sciences
                Psychology
                Addiction
                Addicts
                Drug Users
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Poisoning
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Poisoning
                Custom metadata
                All the data used in this analysis are either publicly available (mortality multiple cause-of-death data files for 1981-2004: https://www.cdc.gov/nchs/nvss/mortality_public_use_data.htm; population estimates for 1981-89: https://wonder.cdc.gov/wonder/sci_data/census/inter/type_txt/nchsinte.asp; population estimates for 1990-2016: http://wonder.cdc.gov/bridged-race-v2016.html) or can be obtained from the National Center for Health Statistics by special request (mortality multiple cause-of-death data files with state identifiers for 2005-2016: https://www.cdc.gov/nchs/nvss/dvs_data_release.htm). The restricted-use data cannot be shared publicly because they were provided by a third-party (NCHS). The lead author (DAG) signed the data use agreement with NCHS on May 3, 2018, and obtained the restricted-use data files on May 25, 2018. DAG managed the data and performed all the analyses for this paper.

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