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      Regional Variation in Methamphetamine-associated Pulmonary Arterial Hypertension: Who’d Better Call Saul?

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      Annals of the American Thoracic Society
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          Abstract

          Amphetamine use is prevalent, both worldwide and in the United States; it is estimated that approximately 27 million people, or 0.5% of the global adult population, as well as 2.3% of Americans between 15 and 64 reported amphetamine use (amphetamine, methamphetamine, or pharmaceutical stimulants) in the past year (1). Another study estimated that between 2015 and 2018, 6.6 adults per 1,000 had used methamphetamines. This same study found that individuals who used methamphetamines were more likely to be younger men with lower educational attainment, lower annual household income, and higher rates of co-occurring substance use as well as mental illness (2). Within the United States, it has been commonly accepted that methamphetamine use varies significantly by region, with higher rates of use in the West and Midwest (3–5). Potential explanations for this difference range from differences in drug manufacturing and distributing, with more direct drug trafficking through Mexico through the western half of the country, to higher rates of depression, suicide, and concomitant drug use at higher elevations (1, 3, 4, 6). The development of pulmonary arterial hypertension (PAH) was tied to stimulant use as early as the 1960s. Within 2 years of the introduction of aminorex fumarate, a novel weight-loss medication, rates of patients developing PAH significantly increased (7). Case reports began to surface in the 1990s of truck drivers who had previously used methamphetamines developing PAH (8). It was not until the early 2000s when methamphetamine use and the development of PAH were linked (9), and currently, methamphetamine is listed as a definite risk factor for PAH by the World Health Organization (WHO) (10). The exact mechanisms of methamphetamine-associated PAH (Meth-APAH) are still unknown. Previous studies have shown that methamphetamine uptake is highest within the lungs, possibly contributing to direct pulmonary toxicity and vascular damage (11). Other studies have attributed damage to similarities between methamphetamines and serotonin, as serotonin may promote pulmonary smooth muscle cell proliferation and vascular remodeling or even induce DNA damage and impair the oxidative stress response (12, 13). Clinically, there have been few studies specifically evaluating patients with Meth-APAH. The largest was completed by a group from Stanford, which showed that when compared with patients with idiopathic PAH (IPAH), patients with Meth-APAH had more advanced heart failure symptoms, more severe hemodynamic abnormalities, and over twice the rate of clinical deterioration or death (14). In this issue of AnnalsATS, Koliatis and colleagues (pp. 613–622) expand on these previous findings at a national level (15). Data was acquired from the Pulmonary Hypertension Association Registry (PHAR), a multicenter registry within the United States that follows patients establishing care at a Pulmonary Hypertension Care Center, where patients complete a tablet-based survey approximately every 6 months. The survey included information about socioeconomic status, social history, symptoms, current PAH therapies, heath-related quality of life (HRQL), and clinical outcomes, with baseline right heart catheterization hemodynamics included at the time of enrollment and 6-minute walk distance at baseline and each repeat clinical visit. The diagnosis and etiology of pulmonary hypertension was determined by the PHAR enrolling center; diagnosing physicians did not see survey results related to previous methamphetamine use. Analysis was restricted to patients with PAH either from amphetamine or methamphetamine use, using IPAH as a comparator group. In total, of the 541 participants included, 118 (22%) had Meth-APAH, a total of 9% of the entire PHAR cohort. The authors found that participants with Meth-APAH were younger and less likely to be insured, college graduates, married, or employed, with lower taxable incomes compared with IPAH participants. Both groups were composed primarily of white females, but there was a higher percentage of men with Meth-APAH than IPAH. Participants in the Meth-APAH group had a greater 6-minute walk distance at baseline, but there was no significant difference in WHO functional class between groups. Notably, they found that 83% of all Meth-APAH participants were receiving care at PHAR centers in the Western U.S. Census Region. Participants with Meth-APAH had less favorable hemodynamics, including a higher right atrial pressure, lower cardiac output/cardiac index, and a lower right ventricular stroke volume index than participants with IPAH but no significant change in mean pulmonary artery pressure or pulmonary vascular resistance. Moreover, participants with Meth-APAH had more advanced WHO functional class despite no significant difference in a fully adjusted model of 6-minute walk distance. In an age- and demographic-adjusted model, participants with Meth-APAH had poorer generic-mental HRQL and PAH-specific HRQL, which was consistent over multiple visits. Furthermore, participants with Meth-APAH were less likely to receive triple therapy, parenteral therapy, or supplemental oxygen, but this group was more likely to be seen in the emergency department or hospitalized than participants with IPAH. Survival rates were similar between both groups, with no difference in lung transplantation referral rates. Given the lack of consensus on how much methamphetamine use is required for a participant to be diagnosed with Meth-APAH, the authors also performed five different sensitivity analyses on functional status, HRQL, treatment, and healthcare utilization models. These analyses did not substantially change the original findings. There are a number of limitations to this retrospective study. All methamphetamine use was self-reported, use was only asked at the initial visit, and there were no laboratory studies to confirm or refute use. As previously mentioned, there is no consensus definition of how much methamphetamine use is required for the diagnosis of Meth-APAH, and it is impossible to know if ongoing use was occurring among participants. The survey used did not report duration of symptoms prior to presentation, thus the worsening hemodynamics seen among this group may be the result of delayed time to presentation versus a more aggressive phenotype. The PHAR requires opting into the registry, so selection bias is also possible. Despite these limitations, this study is the first of its kind to report the frequency of Meth-APAH on a national scale. There are a number of follow-up questions that arise from the results: is there truly a difference in mortality in this subset of patients, as previously found (14)? Given the fact that amphetamine use seems to be rising on a national and global scale (1, 3), how will these findings evolve over time? How do we explain the more severe hemodynamic findings seen in patients with Meth-APAH? What role does a possible coexisting methamphetamine-associated cardiomyopathy play with possible uncoupling of the right ventricle (16, 17)? Are there associated environmental, genetic, or epigenetic predisposing factors to Meth-APAH? More importantly, however, these results reflect and highlight the societal impact of our national public health crisis associated with economic disenfranchising, mental illness, and disparities in access to appropriate and comprehensive health care. In summary, despite significant limitations, the study by Koliatis and colleagues brings forth additional evidence of the impact of Meth-APAH and substantiates the need for further studies investigating the pathobiology, treatment, and prevention of this devastating complication of methamphetamine abuse. While searching for the answers to these questions, we should heed the findings of this study to inform our care and research of patients with Meth-APAH. In the words of Jimmy McGill, “Perfection is the enemy of perfectly adequate.”

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          Haemodynamic definitions and updated clinical classification of pulmonary hypertension

          Since the 1st World Symposium on Pulmonary Hypertension (WSPH) in 1973, pulmonary hypertension (PH) has been arbitrarily defined as mean pulmonary arterial pressure (mPAP) ≥25 mmHg at rest, measured by right heart catheterisation. Recent data from normal subjects has shown that normal mPAP was 14.0±3.3 mmHg. Two standard deviations above this mean value would suggest mPAP >20 mmHg as above the upper limit of normal (above the 97.5th percentile). This definition is no longer arbitrary, but based on a scientific approach. However, this abnormal elevation of mPAP is not sufficient to define pulmonary vascular disease as it can be due to an increase in cardiac output or pulmonary arterial wedge pressure. Thus, this 6th WSPH Task Force proposes to include pulmonary vascular resistance ≥3 Wood Units in the definition of all forms of pre-capillary PH associated with mPAP >20 mmHg. Prospective trials are required to determine whether this PH population might benefit from specific management. Regarding clinical classification, the main Task Force changes were the inclusion in group 1 of a subgroup “pulmonary arterial hypertension (PAH) long-term responders to calcium channel blockers”, due to the specific prognostic and management of these patients, and a subgroup “PAH with overt features of venous/capillaries (pulmonary veno-occlusive disease/pulmonary capillary haemangiomatosis) involvement”, due to evidence suggesting a continuum between arterial, capillary and vein involvement in PAH.
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            The Relationship Between the Right Ventricle and its Load in Pulmonary Hypertension.

            In pulmonary hypertension, the right ventricle adapts to the increasing vascular load by enhancing contractility ("coupling") to maintain flow. Ventriculoarterial coupling implies that stroke volume changes little while preserving ventricular efficiency. Ultimately, a phase develops where ventricular dilation occurs in an attempt to limit the reduction in stroke volume, with uncoupling and increased wall stress as a consequence. With pressure-volume analysis, we separately describe the changing properties of the pulmonary vascular system and the right ventricle, as well as their coupling, as important concepts for understanding the changes that occur in pulmonary hypertension. On the basis of the unique properties of the pulmonary circulation, we show how all relevant physiological parameters can be derived using an integrative approach. Because coupling is maintained by hypertrophy until the end stage of the disease, when progressive dilation begins, right ventricular volume is the essential parameter to measure in follow-up of patients with pulmonary hypertension.
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              Patterns and Characteristics of Methamphetamine Use Among Adults — United States, 2015–2018

              Methamphetamine is a highly addictive central nervous system stimulant. Methamphetamine use is associated with a range of health harms, including psychosis and other mental disorders, cardiovascular and renal dysfunction, infectious disease transmission, and overdose ( 1 , 2 ). Although overall population rates of methamphetamine use have remained relatively stable in recent years ( 3 ), methamphetamine availability and methamphetamine-related harms (e.g., methamphetamine involvement in overdose deaths and number of treatment admissions) have increased in the United States* ( 4 , 5 ); however, analyses examining methamphetamine use patterns and characteristics associated with its use are limited. This report uses data from the 2015–2018 National Surveys on Drug Use and Health (NSDUHs) to estimate methamphetamine use rates in the United States and to identify characteristics associated with past-year methamphetamine use. Rates (per 1,000 adults aged ≥18 years) for past-year methamphetamine use were estimated overall, by demographic group, and by state. Frequency of past-year use and prevalence of other substance use and mental illness among adults reporting past-year use were assessed. Multivariable logistic regression examined characteristics associated with past-year use. During 2015–2018, the estimated rate of past-year methamphetamine use among adults was 6.6 per 1,000. Among adults reporting past-year methamphetamine use, an estimated 27.3% reported using on ≥200 days, 52.9% had a methamphetamine use disorder, and 22.3% injected methamphetamine. Controlling for other factors, higher adjusted odds ratios for past-year use were found among men; persons aged 26–34, 35–49, and ≥50 years; and those with lower educational attainment, annual household income <$50,000, Medicaid only or no insurance, those living in small metro and nonmetro counties, † and those with co-occurring substance use and co-occurring mental illness. Additional efforts to build state and local prevention and response capacity, expand linkages to care, and enhance public health and public safety collaborations are needed to combat increasing methamphetamine harms. Data are from 171,766 adults participating in the 2015–2018 NSDUHs, managed by the Substance Abuse and Mental Health Services Administration. § NSDUHs collected information about the use of drugs, alcohol, and tobacco through in-person interviews with noninstitutionalized U.S. civilians aged ≥12 years. An independent, multistage area probability sample design for each state and the District of Columbia allows for production of national and state estimates. The average overall weighted response rate for the 2015–2018 NSDUHs was 51%. NSDUH variables included sex, age, race/ethnicity, urbanization status of county, education, annual household income, insurance status, and self-reported substance use, mental illness status, and receipt of substance use treatment. Self-reported substance use in NSDUHs included lifetime and past-year use of methamphetamine; past-year use of cocaine and heroin; past-year misuse of prescription opioids, sedatives, tranquilizers, and stimulants; past-month binge drinking (i.e., drinking five or more [men] or four or more [women] drinks on the same occasion on ≥1 day within the past month); and past-month nicotine dependence as determined using the Nicotine Dependence Syndrome Scale ( 6 ). NSDUHs assessed past-year substance use disorders for specific substances (e.g., methamphetamine) using self-reported responses to questions based on the individual diagnostic criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Using a predictive model, past-year any mental illness and serious mental illness ¶ were determined for each adult NSDUH respondent. Using public-use-file data** from combined 2015–2018 NSDUHs, weighted counts, annual average rates per 1,000 adults, and corresponding 95% confidence intervals (CIs) were estimated for lifetime methamphetamine use and past-year methamphetamine use overall and by demographic, substance use, and mental illness variables. Estimates and 95% CIs for frequency of methamphetamine use and prevalence of past-year methamphetamine use disorder, methamphetamine injection, receipt of substance use treatment, other substance use, and mental illness among adults reporting past-year use were determined. Multivariable logistic regression examined characteristics associated with past-year methamphetamine use, controlling for demographic, substance use, and mental illness variables. Results are presented as adjusted odds ratios and 95% CIs. No multicollinearity or potential interaction effects between examined variables in the final model were observed. Restricted access 2017–2018 NSDUH data were used to estimate state rates of past-year methamphetamine use per 1,000 adults. NSDUHs use 2010 census-based population estimates ( 3 ). Stata (version 15.1; StataCorp) was used to account for the NSDUH complex survey design and sample weights. During 2015–2018, the estimated annual average rate of lifetime methamphetamine use was 59.7 per 1,000 adults, or 14,686,900 adults on average each year. The estimated rate of past-year use was 6.6 per 1,000, or 1,626,200 adults on average each year (Table 1). Estimated rates of past-year use were 8.7 for men and 4.7 for women. The highest estimated rates were among adults aged 26–34 (11.0), 18–25 (9.3), and 35–49 (8.3) years and among non-Hispanic whites (7.5), Hispanics (6.7), and non-Hispanic other races (5.6). Estimated rates of past-year use also varied by the other demographic, substance use, and mental illness variables assessed. During 2017–2018 rates of past-year methamphetamine use ranged from 2.76 in New York to 13.98 in Nevada; generally, rates were higher in the western United States than in the East (Supplementary Figure, https://stacks.cdc.gov/view/cdc/85704). TABLE 1 Methamphetamine use among adults aged ≥18 years by demographic, substance use, and mental health characteristics — United States, 2015–2018 Characteristic Past-year methamphetamine use Annual average no. of adults aged ≥18 years (weighted) Annual average rate per 1,000 adults aged ≥18 years (95% CI) Overall lifetime use 14,686,900 59.7 (58.1–61.4) Overall past-year use 1,626,200 6.6 (6.1–7.1) Past-year use by demographic characteristic Sex Women 598,300 4.7 (4.2–5.2) Men 1,027,900 8.7 (7.9–9.5) Age group (yrs) 18–25 320,000 9.3 (8.3–10.4) 26–34 431,200 11.0 (9.7–12.5) 35–49 507,900 8.3 (7.3–9.5) ≥50 367,100 3.2 (2.8–3.9) Race/Ethnicity White, non-Hispanic 1,180,200 7.5 (6.9–8.2) Black, non-Hispanic 72,000 2.5 (1.8–3.4) Other, non-Hispanic 113,000 5.6 (4.4–7.2) Hispanic 260,900 6.7 (5.5–8.1) Education level Less than high school diploma 394,600 12.4 (10.8–14.3) High school graduate 563,300 9.2 (8.1–10.4) Some college or associate’s degree 527,300 6.9 (6.1–7.9) Bachelor’s degree or higher 141,000 1.8 (1.3–2.5) Annual household income <$20,000 640,700 15.6 (13.8–17.7) $20,000–49,999 552,000 7.6 (6.6–8.6) $50,000–74,999 169,100 4.3 (3.4–5.5) ≥$75,000 264,300 2.9 (2.4–3.4) Insurance status Private or other insurance (including Medicare) 704,900 3.6 (3.1–4.1) Medicaid only 524,600 20.9 (18.5–23.5) Uninsured 396,700 16.4 (13.9–19.2) County type of residence* Large metro 711,200 5.2 (4.6–5.8) Small metro 583,100 7.9 (6.6–9.5) Nonmetro 331,900 9.5 (8.2–11.0) Substance use † Past-month binge drinking 753,900 11.6 (10.2–13.0) Past-month nicotine dependence 719,900 39.0 (35.1–43.4) Past-year marijuana use 1,118,000 30.6 (27.9–33.6) Past-year cocaine use 493,500 94.7 (83.5–107.1) Past-year heroin use 275,600 315.7 (267.8–367.8) Past-year prescription opioid misuse 657,100 63.2 (56.4–70.9) Past-year prescription sedative/tranquilizer misuse 473,400 74.0 (66.9–81.7) Past-year prescription stimulant misuse 350,900 69.6 (61.2–79.0) Mental health No past-year mental illness 688,300 3.4 (3.1–3.8) Past-year mental illness but not serious mental illness§ 531,900 15.3 (13.5–17.3) Past-year serious mental illness¶ 406,000 37.6 (32.1–43.9) Source: National Surveys on Drug Use and Health, 2015–2018, using 2010 U.S. Censusꟷbased population estimates. Abbreviations: CI = confidence interval; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. * The Rural-Urban Continuum Codes are hierarchical, mutually exclusive classifications for all U.S. counties created by the U.S. Department of Agriculture. All population counts are from the 2010 Census representing the resident population. Large metro = counties in metro areas with a population ≥1 million persons. Small metro = counties in metros areas with populations between 250,000–1,000,000; counties in metro areas with populations <250,000. Nonmetro = counties with urban populations ≥20,000 adjacent to a metro area; urban populations ≥20,000 not adjacent to a metro area; urban populations 2,500–19,999 adjacent to a metro area; urban populations 2,500–19,999 not adjacent to a metro area; rural or <2,500 urban populations adjacent to a metro area; and rural or <2,500 urban population not adjacent to a metro area. https://seer.cancer.gov/seerstat/variables/countyattribs/ruralurban.html. † Among adults engaging in substance use behavior. § Any mental illness is defined as currently or at any time within the past year having had a diagnosable mental disorder (excluding developmental disorders and substance use disorders of sufficient duration to meet DSM-IV diagnostic criteria). https://www.samhsa.gov/data/report/2017-methodological-summary-and-definitions. For this analysis where the variable was defined as past-year mental illness, not serious mental illness, persons meeting criteria for serious mental illness were not included. ¶ Serious mental illness is defined as currently or at any time within the past year having had a mental disorder (excluding developmental disorders and substance use disorders of sufficient duration to meet DSM-IV diagnostic criteria), which resulted in serious functional impairment substantially interfering with or limiting one or more major life activities. https://www.samhsa.gov/data/report/2017-methodological-summary-and-definitions. Among adults reporting past-year methamphetamine use, an estimated 36.2%, 19.2%, 17.2%, and 27.3% reported using methamphetamine 1–29 days, 30–99 days, 100–199 days, and ≥200 days, respectively; 22.3% reported injecting methamphetamine (Figure). Approximately one half (52.9%) of adults who reported past-year methamphetamine use met diagnostic criteria for past-year methamphetamine use disorder. Among those with past-year methamphetamine use disorder, an estimated 31.5% received any substance use treatment within the past year. FIGURE Methamphetamine injection, use disorder, frequency of use, receipt of substance use treatment,* other substance use,† and mental illness among adults aged ≥18 years reporting past-year methamphetamine use — United States, 2015–2018 § Source: National Surveys on Drug Use and Health, 2015-2018, using 2010 U.S. Censusꟷbased population estimates. * Receipt in past year among those with a methamphetamine use disorder; all other percentages are among adults reporting past-year methamphetamine use. † Binge drinking and nicotine dependence reported within the past month; all other substances are within the past year. § Weighted percentages; error bars represent 95% confidence intervals. The figure is a bar chart showing methamphetamine injection, use disorder, frequency of use, receipt of substance use treatment, other substance use, and mental illness among adults aged ≥18 years reporting past-year methamphetamine use in the United States during 2015–2018. Among adults using methamphetamine within the past year, estimated prevalences of past-year use or misuse of other substances included cannabis use (68.7%), prescription opioid misuse (40.4%), cocaine use (30.4%), prescription sedative or tranquilizer misuse (29.1%), prescription stimulant misuse (21.6%), and heroin use (16.9%). Past-month binge drinking was reported by an estimated 46.4% and nicotine dependence by 44.3%. Mental illness was common also; of persons who used methamphetamine, an estimated 57.7% reported any mental illness, and 25.0% reported serious mental illness during the past year. Multivariable logistic regression analysis found increased odds of past-year methamphetamine use among men; persons aged 26–34, 35–49, and ≥50 years (versus persons aged 18–25 years); persons with less than a high school diploma, a high school diploma, and some college or associate’s degree (versus college graduates); those with annual household income <$20,000 or $20,000–$49,999 (versus ≥$75,000); persons having Medicaid only or being uninsured (versus private or other insurance); persons living in small metro and nonmetro counties (versus large metro counties); persons reporting past-month nicotine dependence; those reporting past-year use of cannabis, cocaine, and heroin; persons reporting misuse of prescription opioids, sedatives, tranquilizers, or stimulants; and persons reporting past-year mental illness but not serious mental illness or past-year serious mental illness (versus no past-year mental illness). Non-Hispanic black race/ethnicity was associated with lower odds of past-year methamphetamine use compared with non-Hispanic white race/ethnicity (Table 2). TABLE 2 Characteristics associated with past-year methamphetamine use among adults aged ≥18 years — United States, 2015–2018 Characteristic Adjusted odds ratios* (95% CI) Sex Women Reference Men 1.68 (1.43–1.96) Age group (yrs) 18–25 Reference 26–34 1.67 (1.36–2.05) 35–49 2.49 (2.01–3.07) ≥50 1.72 (1.31–2.25) Race/Ethnicity White, non-Hispanic Reference Black, non-Hispanic 0.29 (0.20–0.42) Other, non-Hispanic 1.07 (0.78–1.47) Hispanic 1.08 (0.85–1.37) Education level Less than high school 3.28 (2.13–5.06) High school graduate 2.65 (1.78–3.93) Some college or associate’s degree 2.04 (1.38–3.02) Bachelor’s degree or higher Reference Annual household income <$20,000 2.09 (1.59–2.74) $20,000–49,999 1.42 (1.11–1.82) $50,000–74,999 1.06 (0.77–1.46) ≥$75,000 Reference Insurance status Private or other insurance (including Medicare) Reference Medicaid only 2.01 (1.55–2.61) Uninsured 1.70 (1.31–2.22) County type of residence† Large metro Reference Small metro 1.32 (1.01–1.72) Nonmetro 1.54 (1.25–1.90) Substance use§ Past-month binge drinking 1.06 (0.86–1.30) Past-month nicotine dependence 2.14 (1.75–2.62) Past-year cannabis use 4.61 (3.67–5.80) Past-year cocaine use 2.72 (2.12–3.50) Past-year heroin use 5.10 (3.63–7.17) Past-year prescription opioid misuse 2.17 (1.66–2.84) Past-year prescription sedative/tranquilizer misuse 1.85 (1.45–2.35) Past-year prescription stimulant misuse 1.91 (1.43–2.55) Mental health No past-year mental illness Reference Past-year mental illness but not serious mental illness¶ 2.18 (1.82–2.60) Past-year serious mental illness** 3.34 (2.53–4.40) Source: National Surveys on Drug Use and Health, 2015–2018, using 2010 U.S. Censusꟷbased population estimates. Abbreviations: CI = confidence interval; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. * Odds ratios are adjusted for all other variables in the model. † The Rural-Urban Continuum Codes are hierarchical, mutually exclusive classifications for all U.S. counties created by the U.S. Department of Agriculture. All population counts are from the 2010 Census representing the resident population. Large metro = counties in metro areas with a population ≥1 million persons. Small metro = counties in metros areas with populations between 250,000–1,000,000; counties in metro areas with populations <250,000. Nonmetro = counties with urban populations ≥20,000 adjacent to a metro area; urban populations ≥20,000 not adjacent to a metro area; urban populations 2,500–19,999 adjacent to a metro area; urban populations 2,500–19,999 not adjacent to a metro area; rural or <2,500 urban populations adjacent to a metro area; and rural or <2,500 urban population not adjacent to a metro area. https://seer.cancer.gov/seerstat/variables/countyattribs/ruralurban.html. § Reference group is no use (misuse) within the past month (past year). ¶ Any mental illness is defined as currently or at any time within the past year having had a diagnosable mental disorder (excluding developmental disorders and substance use disorder of sufficient duration to meet DSM-IV diagnostic criteria). https://www.samhsa.gov/data/report/2017-methodological-summary-and-definitions. For this analysis where the variable was defined as past-year mental illness, not serious mental illness, persons meeting criteria for serious mental illness were not included. ** Serious mental illness is defined as currently or at any time within the past year having had a mental disorder (excluding developmental disorders and substance use disorder of sufficient duration to meet DSM-IV diagnostic criteria), which resulted in serious functional impairment substantially interfering with or limiting one or more major life activities. https://www.samhsa.gov/data/report/2017-methodological-summary-and-definitions. Discussion In the United States during 2015–2018, approximately 1.6 million adults, on average, used methamphetamine each year, and nearly 25% of those reported injecting methamphetamine. In addition, approximately 50% of persons using methamphetamine in the past year met diagnostic criteria for past-year methamphetamine use disorder, yet fewer than one third of adults with past-year methamphetamine use disorder received substance use treatment in the past year. Particularly concerning were high rates of co-occurring substance use or mental illness among adults using methamphetamine. These findings provide new insights into populations to prioritize for prevention and response efforts, such as men, middle aged adults, and rural residents. Identification of higher rates of methamphetamine use in small metro and nonmetro areas are important given difficulties in delivering services to rural populations who might be disproportionately affected by methamphetamine use. Attention has been drawn to infectious disease transmission associated with opioid injection in these areas ( 7 ); the long-standing challenges with lower economic resources, prevalent substance use, and limited treatment availability also place these areas at risk for infectious disease outbreaks associated with methamphetamine injection. Expansion of evidence-based substance use treatment, syringe services programs, and other community-based interventions aimed at reducing use, including injection, are needed. Given the high rates of co-occurring substance use identified, along with trends of increasing opioid-related overdose deaths and treatment admissions that involve methamphetamine ( 4 , 5 ), prevention and treatment efforts will need to be comprehensive and broad-based. Universal preventive interventions such as Promoting School-Community-University Partnerships to Enhance Resilience (PROSPER) have resulted in lasting protective effects on youth substance use generally, and for methamphetamine use and opioid misuse specifically ( 8 ). Promising treatment strategies for methamphetamine use disorder are those that use evidence-based psychosocial approaches (e.g., community reinforcement or cognitive-behavioral therapy) combined with contingency management, where rewards are provided to reinforce positive behavior ( 9 ). The finding of increased odds of methamphetamine use among adults with lower socioeconomic indicators underscores the importance of recovery support services and linkage to social service providers. The overlap of methamphetamine use with mental illness, especially serious mental illness, suggests an important role for mental health providers to engage in care with this population, in coordination with addiction and other health care providers. Treatment of co-occurring mental and substance use disorders has been a recognized gap in the system of care ( 10 ) and persons who use methamphetamine might be particularly affected. The findings in this report are subject to at least four limitations. First, NSDUH data are self-reported and subject to recall and social desirability biases. Second, because the survey is cross-sectional and different persons were sampled each year, inferring causality from the observed associations between the predictors examined and self-reported past-year methamphetamine use is not possible. Third, NSDUHs do not include homeless persons not living in shelters, active duty military, or persons residing in institutions such as those who are incarcerated; thus, substance use estimates in this study might not be generalizable to the total U.S. population. Finally, NSDUHs provide estimates of persons meeting diagnostic criteria for methamphetamine use disorder based on self-reported responses to the individual questions that make up the DSM-IV diagnostic criteria for methamphetamine use disorder, not estimates of the number of persons receiving a diagnosis from a health care provider; thus, gaps between meeting diagnostic criteria and receiving treatment might be incorrectly estimated. Methamphetamine use and related harms represent a substantial U.S. public health concern. Additional efforts to support prevention and response capacity in communities, expand linkages to care for substance use and mental health, and enhance collaborations between public health and public safety are needed. Summary What is already known about this topic? Methamphetamine is a highly addictive central nervous system stimulant. In recent years, methamphetamine availability and methamphetamine-related harms have been increasing in the United States. What is added by this report? During 2015–2018, an estimated 1.6 million U.S. adults aged ≥18 years, on average, reported past-year methamphetamine use; 52.9% had a methamphetamine use disorder, and 22.3% reported injecting methamphetamine within the past year. Co-occurring substance use and mental illness were common among those who used methamphetamine within the past year. What are the implications for public health practice? Efforts to build state and local prevention and response capacity, expand linkages to care, and enhance public health and public safety collaborations are needed to combat rising methamphetamine availability and related harms.
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                Author and article information

                Journal
                Ann Am Thorac Soc
                Ann Am Thorac Soc
                AnnalsATS
                Annals of the American Thoracic Society
                American Thoracic Society
                2329-6933
                2325-6621
                April 2021
                April 2021
                April 2021
                : 18
                : 4
                : 584-585
                Affiliations
                Division of Pulmonary, Critical Care, Sleep, and Occupational Medicine, Department of Medicine, Indiana University, Indianapolis, Indiana
                Article
                202011-1415ED
                10.1513/AnnalsATS.202011-1415ED
                8009004
                33792520
                22c34598-ed82-402a-823e-5e8b35490082
                Copyright © 2021 by the American Thoracic Society

                This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 ( https://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern ( dgern@ 123456thoracic.org ).

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