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Zhang M, He J, Young JM, You J, Li J. Impact pathways of adverse childhood experiences on infectious diseases among substance abusers in border regions: structural equation modeling. Front Public Health 2025; 13:1518607. [PMID: 40416651 PMCID: PMC12098348 DOI: 10.3389/fpubh.2025.1518607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 04/25/2025] [Indexed: 05/27/2025] Open
Abstract
Background Injection of drug abuse could result in infectious disease, and adverse childhood experiences (ACEs) possibly are associated with infectious disease. However, there is a paucity of literature on a direct or indirect relationship between ACEs, injection of drug use and infectious disease. We thus identified the pathway of influence of ACEs in adulthoods and injection of drug use on infectious disease by structural equation models (SEM). Methods A cross-sectional study was conducted by respondent driving sampling and consecutive sampling among people who use drugs in southwest of China in 2021. R software 4.2.1 was used to conduct descriptive, univariate, and SEM analysis. Results There were 404 participants in total, with an average age of 34 and most males (98.3%) and minorities (79.6%). 95.5% of respondents experienced ACEs with 46.6% of reporting 4 or more ACEs. Correlations in SEM showed that infectious disease might be directly positively affected by injection of drug use (β = 0.184), and directly negatively affected by ACEs (β = -0.188). Age (β = 0.029), Ethnic (β = -0.021), Education (β = 0.019), Gender (β = 0.022), Sex partners (β = -0.017), and ACEs (β = -0.029) might have indirect effects on infectious disease. Conclusion ACEs might be a direct or indirect predictor for infectious disease in adulthood, injection of drug use might be a risk factor and moderate other factors of infection of infectious disease. Strategies for creating a positive home environment, minimizing traumatic or stressful childhood experiences, and increasing awareness of the risks associated with drug injection use are all ways to lower the chances of contracting infectious diseases.
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Affiliation(s)
- Mingmei Zhang
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, Kunming, China
- School of Public Health, Kunming Medical University, Kunming, China
| | - Jianhui He
- School of Public Health, Kunming Medical University, Kunming, China
| | - J. Melvin Young
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, Kunming, China
| | - Jing You
- Department of Infectious Diseases and Hepatology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Li
- Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, Kunming, China
- School of Public Health, Kunming Medical University, Kunming, China
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Luo T, Lin Z, Wu Z, Cen P, Nong A, Huang R, Che J, Liang F, Yang Y, Liu J, Huang L, Cai J, Ou Y, Ye L, Bao L, Liang B, Liang H. Trends and associated factors of HIV, HCV and syphilis infection among different drug users in the China-Vietnam border area: an 11-year cross-sectional study (2010-2020). BMC Infect Dis 2023; 23:575. [PMID: 37667212 PMCID: PMC10478360 DOI: 10.1186/s12879-023-08239-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/10/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Data on recent human immunodeficiency virus (HIV), hepatitis C virus (HCV) and syphilis prevalence among drug users in the Southwest China are sparse despite the high burden of drug use. This study aims at assessing the prevalence trends and related factors of HIV, HCV and syphilis infection among different drug users in the China-Vietnam border area. METHODS A continuous cross-sectional survey was conducted among drug users from 2010 to 2020 in the China-Vietnam border area. Chi-square trend tests were used to assess the trend of HIV, HCV and syphilis prevalence and the proportion for drug type used by drug users. Multivariate logistic regression was used to identify associated factors of HIV, HCV and syphilis infection in different drug users. RESULTS In this study, a total of 28,951 drug users were included, of which 27,893 (96.45%) male, 15,660 (54.09%) aged 13-34 years, 24,543 (84.77%) heroin-only users, 2062 (7.12%) synthetic drug-only (SD-only) users and 2346 (8.10%) poly-drug users. From 2010 to 2020, the proportion of heroin-only users decreased from 87.79% to 75.46%, whereas SD-only users and poly-drug users increased from 5.16% to 16.03%, and from 7.05% to 8.52%, respectively. The prevalence of HIV, HCV, and syphilis during the study period declined from 12.76%, 60.37% and 5.72% to 4.35%, 53.29% and 4.53%, respectively, among heroin-only users and declined from 18.30%, 66.67% and 15.69% to 6.95%, 27.81% and 5.35%, respectively, among poly-drug users; however, the prevalence of HIV and HCV among SD-only users increased from 0.89% and 8.93% to 2.84% and 18.75%, respectively. Having ever injected drugs and needle sharing were common associated factors for both HIV and HCV infection among poly-drug users and heroin-only users. Aged ≥ 35 years old was an associated factor for HIV, HCV and syphilis infection among the SD-only users. Female drug users were at high risk of contracting syphilis among three different drug users. CONCLUSIONS The prevalence of HIV, HCV and syphilis among heroin-only users and poly-drug users decreased during the study period. However, the prevalence of HIV and HCV among SD-only users increased. Comprehensive intervention strategies, particularly focusing on the SD-only users are needed in order to bring down the disease burden in this population in the China-Vietnam border areas.
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Affiliation(s)
- Tong Luo
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Zhaosen Lin
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Zhenxian Wu
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Ping Cen
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Aidan Nong
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Rongye Huang
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Jianhua Che
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Fengfeng Liang
- Qinzhou Center for Disease Control and Prevention, Qinzhou, 535000, Guangxi, China
| | - Yuan Yang
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jie Liu
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Li Huang
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Jie Cai
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Yanyun Ou
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Lijuan Bao
- Chongzuo Center for Disease Control and Prevention, Chongzuo, 532200, Guangxi, China.
| | - Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, Life Science Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Wang C, Lassi N. Combating illicit fentanyl: Will increased Chinese regulation generate a public health crisis in India? Front Public Health 2022; 10:969395. [PMID: 36311594 PMCID: PMC9614337 DOI: 10.3389/fpubh.2022.969395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 09/20/2022] [Indexed: 01/25/2023] Open
Abstract
This study examines how Chinese drug regulations are shifting illicit fentanyl production from China to India. This change has implications for the law, drug enforcement, pharmaceutical industry, and public health, as domestic production increases domestic access to fentanyl, in India. An empirical examination of current trends in fentanyl production and use in the region is conducted, along with an exegesis of the legal and regulatory systems in China and India. There is an accounting of the chemical and pharmaceutical industries, the strengths and weaknesses of drug legislation, and the public health consequences of increased production, distribution, and use of fentanyl in India. This study also details how the Indian government meets this challenge through legislative mechanisms, foremost through class-wide legislative control over fentanyl and its precursors. Class-wide control prohibits the unlawful production and distribution of all current and future fentanyl analogs and their precursors, disincentivizing and disrupting their development and production. The Indian government should also reduce domestic demand by promoting harm reduction measures such as opioid substitution therapy, evidence-based treatment, fentanyl test strip and naloxone distribution, and needle exchange programs.
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Systematic Review of Hepatitis C Virus Prevalence in the WHO Western Pacific Region. Viruses 2022; 14:v14071548. [PMID: 35891529 PMCID: PMC9320901 DOI: 10.3390/v14071548] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND This review aimed to identify hepatitis C virus (HCV) prevalence estimates among the general population and six key populations (people who inject drugs, men who have sex with men, sex workers, prisoners/detainees, Indigenous people, and migrants) in the World Health Organization Western Pacific Region (WHO WPR). METHODS Original research articles published between 2016 and 2020 were identified from bibliographic databases. Publications were retrieved, replicas removed, and abstracts screened. Retained full texts were assessed and excluded if inclusion criteria were not met. Methodological quality was assessed using the Johanna Briggs Institute critical appraisal checklist for prevalence data. Data on HCV exposure and active infection were extracted and aggregated and forest plots generated for each population by country. RESULTS There were no HCV prevalence estimates in any population for more than half of WPR countries and territories. Among the 76 estimates, 97% presented prevalence of exposure and 33% prevalence of active infection. General population viraemic prevalence was 1% or less, except in Mongolia. Results confirm the endemic nature of HCV among people who inject drugs, with estimates of exposure ranging from 30% in Cambodia to 76% in Hong Kong. CONCLUSIONS Countries require detailed knowledge of HCV prevalence in diverse populations to evaluate the impact of efforts to support WHO HCV elimination goals. Results provide baseline estimates from which to monitor and evaluate progress and by which to benchmark future elimination efforts.
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Li Y, Dong J, Xu R, Feng F, Kan W, Ding H, Wang X, Chen Y, Wang X, Zhu S, Dong R. Clinical epidemiological characteristics of nitrous oxide abusers: A single-center experience in a hospital in China. Brain Behav 2021; 11:e2416. [PMID: 34775689 PMCID: PMC8671768 DOI: 10.1002/brb3.2416] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 10/07/2021] [Accepted: 10/21/2021] [Indexed: 11/06/2022] Open
Abstract
PURPOSE This study investigated the clinical epidemiological characteristics of nitrous oxide (N2 O) abusers in a hospital in China, which have not been systematically reported. METHODS The characteristics of patients abusing N2 O who were examined and treated at the Affiliated Hospital of Xuzhou Medical University from January 2017 to December 2020 were analyzed. RESULTS A total of 61 patients (average age: 21.7 ± 3.2 years; 42 male and 19 female) were enrolled; 60.7% of the patients had an education level of high school or lower, and most (59.0%) had no stable occupation. The mean exposure time was 8.5 ± 7.7 months (range: 1-36 months). Only 52.5% of the abusers reported the physician of the relevant exposure history at the first time of visiting the doctor. The main clinical type was mixed (49.2%). The most common clinical manifestation was distal limb numbness (80.3%). The most frequent outcome was peripheral neuropathy (59%) and subacute combined degeneration (36%). Serum homocysteine level was elevated in 67.5% (27/40) of the patients, while 44.4% (20/45) showed reduced vitamin B12. Note that 61% (22/36) showed abnormal signals in the posterior or lateral funiculus of the spinal cord, and 97% (31/32) of the patients showed peripheral nerve damage by electromyography. In all cases, symptoms were alleviated after halting N2 O intake and receiving nutritional neurotherapy. CONCLUSIONS N2 O abuse can lead to nervous system damage, especially peripheral nerve and spinal cord damage. A full understanding of its clinical epidemiological characteristics is helpful for clinicians to make a timely and clear diagnosis.
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Affiliation(s)
- Yueyue Li
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Jing Dong
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ran Xu
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Fanfan Feng
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Weihao Kan
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Hongmei Ding
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xiaolong Wang
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yujie Chen
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Xin Wang
- Clinical College, Xuzhou Medical University, Xuzhou, China
| | - Shiguang Zhu
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Ruiguo Dong
- Department of Neurology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
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Initial Heroin Use Patterns Predict 5-Year Relapse: Results from a Longitudinal Cohort Study in Shanghai, China. Int J Ment Health Addict 2020. [DOI: 10.1007/s11469-020-00407-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155483. [PMID: 32751337 PMCID: PMC7431999 DOI: 10.3390/ijerph17155483] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/17/2020] [Accepted: 07/21/2020] [Indexed: 12/31/2022]
Abstract
Background: Heavy drug users was a global consensus high-risk population of HIV infection. However, the specific impact of drug on HIV infection has not yet been established. Depressants and stimulants were most widely used drugs in mainland China, and mix use of the two drugs was also serious. We assessed the HIV infection rate and trends in heavy drug users by analyzing data from the National Dynamic Management and Control Database for Drug Users (NDMCDDU). Methods: All heavy drug users with HIV test results in NDMCDDU from 2008 to 2016 were grouped into depressants only group (DOG), stimulants only group (SOG), and both depressants and stimulants group (DSG). We used joinpoint regression to examine trends of HIV infection rates. Multivariable logistic regression was used to examine factors related to HIV infection. Results: A total of 466,033 heavy drug users with 9522 cases of HIV infection were included in this analysis. HIV infection rate was estimated at 2.97% (95% CI 2.91–3.04%) of 265,774 users in DOG, 0.45% (95% CI 0.42–0.49%) of 140,895 users in SOG, and 1.65% (95% CI 1.55–1.76%) of 59,364 users in DSG. In DOG, a U-shaped curve of HIV infection rate decreased from 3.85% in 2008 to 2.19% in 2010 (annual percent change (APC) −12.9, 95% CI −19.3–−6.0, p < 0.05), then increased to 4.64% in 2016 (APC 8.3, 95% CI 6.1–10.4, p < 0.05) was observed. However, SOG and DSG showed consistent increases from 0.15% in 2008 to 0.54% in 2016 (APC 8.2, 95% CI 4.8–11.8, p < 0.05) and from 0.78% in 2008 to 2.72% in 2016 (APC 13.5, 95% CI 10.7–16.4, p < 0.05), respectively. HIV infection rate of DOG in the southwest region presented a U-shaped trend. All groups showed significant increases in HIV infection in east and central regions. Conclusions: The U-shaped curve for HIV infection rate among DOG users and consistent increases among SOG and DSG users implies drug abuse is still a critical focus of HIV infection in China. It is urgently needed to reassess the effectiveness of current strategies on HIV prevention and control among drug users.
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Su S, Fairley CK, Mao L, Medland N, Shen M, Li Y, Zhuang G, Zhang L. Estimation of the impact of changing drug-use trend on HIV, hepatitis C and syphilis epidemics among people who use synthetic drug-only, polydrug and heroin-only during 2005-2035 in China: modelling study. Sex Transm Infect 2020; 96:608-614. [PMID: 32188771 DOI: 10.1136/sextrans-2019-054360] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 02/17/2020] [Accepted: 02/29/2020] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE The rapid expansion of the recreational drug market becomes a global health concern. It is worrying that the bacterial and viral infection epidemics linking to drug use may worsen accordingly. This study aimed to estimate the impacts of changing trend and behaviours of using heroin only, synthetic drug (SD) only and polydrug (using SD and heroin concurrently) on HIV, hepatitis C virus (HCV) and syphilis epidemics among people who use drugs in China by 2035. METHODS We constructed a compartmental model to estimate HIV, HCV and syphilis epidemics in the dynamic drug-use trend by three scenarios: SD-only use, heroin-only use and polydrug use based on Monte Carlo simulations. The parameters for the model were collected from a comprehensive literature search. RESULTS Our model estimated that polydrug use led to the highest HIV and HCV prevalence among three drug-use patterns. The prevalences were projected to increase from 10.9% (95% CI 10.2% to 11.5%) and 61.7% (95% CI 59.4% to 62.5%) in 2005 to 19.0% (95% CI 17.3% to 20.7%) and 69.1% (95% CI 67.3% to 69.5%), respectively, in 2035 among people using polydrug. Similarly, HIV and HCV prevalence in the SD-only group were projected to increase from 0.4% (95% CI 0.3% to 0.4%) and 19.5% (95% CI 19.4% to 21.7%) to 1.8% (95% CI 1.4 to 2.1%) and 33.7% (95% CI 33.2% to 34.9%) in 2005-2035. Conversely, HIV prevalence in the heroin-only group was projected to decrease from 8.0% (95% CI 7.6% to 8.1%) to 2.2% (95% CI 2.0% to 2.3%) in 2005-2035. Syphilis prevalence was estimated to remain unchanged in all population groups within this time frame. It was projected that the proportion of HIV transmitted by sexual transmission will increase compared with unsafe injection transmission in all people who use drugs from 2005 to 2035. CONCLUSION Our modelling suggests that polydrug use is projected to lead to the highest HIV and HCV disease burden by 2035, and the proportion of HIV transmitted by sexual transmission will increase. Current HIV intervention among people using heroin seems effective according to our estimation.
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Affiliation(s)
- Shu Su
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.,Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Christopher K Fairley
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.,Melbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia
| | - Limin Mao
- Center for Social Research in Health, Faculty of Arts and Social Science, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicholas Medland
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.,Melbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Yan Li
- Health Policy Modeling Laboratory, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Guihua Zhuang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Lei Zhang
- China-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China .,Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia.,Melbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.,Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan province, China
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Determining the Impact of the Opioid Crisis on a Tertiary-Care Hospital in Central New York to Identify Critical Areas of Intervention in the Local Community. JOURNAL OF ADDICTION 2020; 2020:3956187. [PMID: 32231849 PMCID: PMC7091543 DOI: 10.1155/2020/3956187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 01/17/2020] [Accepted: 01/30/2020] [Indexed: 11/17/2022]
Abstract
Background Central New York has been afflicted by the heroin epidemic with an increase in overdose deaths involving opioids. Objective The objective of the study was to understand the epidemiology of hospitalizations related to a diagnosis of opioid use (OU). Design The study was designed as a retrospective analysis of hospitalized patients admitted from January 1, 2008, to December 30, 2018, using ICD-9 and 10 codes for heroin or opiate use, overdose, or poisoning. Setting. The study was conducted in a tertiary-care and teaching hospital located in Central New York. Patients. Hospitalized patients were included as study participants. Results Opioid use-related admissions increased from .05/100 hospital admissions in 2008 to a peak of 2.9/100 in 2018, a 58-fold increase. There were 49 deaths over the 11-year period for an overall case fatality of 1.2 per 100 OU admissions. The median age for all years was 40 years (SD of 13.7 years), and admissions were largely white caucasians (67.0% of all admissions). The mean length of stay was 8.55 days (SD 12 days), with a range of 1 to 153 days. The most frequent discharge diagnosis was due to infections (15.0% of discharge diagnoses) followed by trauma (5.8% of discharge diagnoses). Methicillin-resistant Staphylococcus aureus was more common in patients with OU (58.1%) than in patients with non-OU (43%) (p < 0.0001 by chi-square with Yates' correction). Spatial analysis was performed by zip code and demonstrated regional hotspots for OU-related admissions. Limitations. The limitations of this study are its retrospective nature and largely numerator-based analysis. The use of ICD codes underrepresents the true burden due to underreporting and failure to code appropriately. This study focuses on patients who are hospitalized for a medical reason with a secondary diagnosis of opioid use and does not include patients who present to the emergency room with an overdose underrepresenting the true burden of the problem. Conclusions Our results demonstrate the impact of the opioid epidemic in one tertiary-care center and the need to prepare for the costs and resources to address addiction care for this population.
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Hiebler-Ragger M, Unterrainer HF. The Role of Attachment in Poly-Drug Use Disorder: An Overview of the Literature, Recent Findings and Clinical Implications. Front Psychiatry 2019; 10:579. [PMID: 31507461 PMCID: PMC6720034 DOI: 10.3389/fpsyt.2019.00579] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 07/23/2019] [Indexed: 12/13/2022] Open
Abstract
Background: Substance use disorders (SUDs) represent a worldwide epidemic with extensive costs to the individual and to society. Occasionally described as an attachment disorder, they have been linked to various impairments in self-regulation and social functioning. However, while there have been significant advances in the development and validation of treatment strategies for SUD in recent years, the components of these treatment approaches have yet to be fully explored. The characteristics of polydrug use disorder (PUD) especially need to be addressed in more detail, as this diagnosis is highly common in individuals seeking treatment, while simultaneously being associated with poor treatment success. Aim and Scope: This review aims at further exploring the relevance of attachment in PUD and its treatment. To this end, this review provides a concise summary of relevant theories on the development and treatment of SUD in general, including related parameters of attachment, emotion regulation, and neuroscience. Furthermore, several studies focused specifically on PUD are described in more detail. These studies explored the connections between attachment, personality structure, primary and higher emotions (including spirituality), as well as structural and functional neural parameters in inpatients with PUD as well as in healthy controls. Most notably, the described studies highlight that insecure attachment and impairments in personality structure are present in inpatients with PUD. In addition, these characteristics are paralleled by extensive impairments in white matter integrity, especially in tracts connected to facets of emotion regulation. Conclusions: Based on our findings, we emphasize conceptualization of PUD as an Attachment Disorder, on a behavioral as well as on a neural level. Furthermore, we point out the importance of an integrated bio-psycho-social approach in this research area. Consequently, future studies might more closely focus on the influence of attachment-based interventions on emotion regulation abilities as well as a potentially related neuroplasticity. Neuroplastic changes, which are still rather unexplored, might represent important parameters for the assessment of treatment outcomes especially in long-term SUD treatment.
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Affiliation(s)
- Michaela Hiebler-Ragger
- Department for Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
- Center for Integrative Addiction Research (CIAR), Gruener Kreis Society, Vienna, Austria
| | - Human-Friedrich Unterrainer
- Department for Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Austria
- Center for Integrative Addiction Research (CIAR), Gruener Kreis Society, Vienna, Austria
- Department of Religious Studies, University of Vienna, Vienna, Austria
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Su S, Fairley CK, Mao L, Medland NA, Jing J, Cheng F, Zhang L. Estimates of the national trend of drugs use during 2000-2030 in China: A population-based mathematical model. Addict Behav 2019; 93:65-71. [PMID: 30685570 DOI: 10.1016/j.addbeh.2019.01.022] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 01/14/2019] [Accepted: 01/15/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND The use of synthetic drugs has exceeded heroin to become a major public health concern in China. We aimed to estimate the trend of heroin-only, synthetic drug-only and poly-drug (heroin and synthetic drug) use during 2000-2030 period in China using existing data. METHODS We used data from the Annual Report on Drug Control in China and peer-reviewed publications. We constructed a mathematical model to estimate the drug use trend based on Monte Carlo simulations. RESULTS The best calibrated model estimated that the number of drug users would increase from 0.86 million to 3,120,059 (95% CI 2,669,214-3,570,904) during 2000-2030 period. The proportion of heroin-only users among the total drug users will decrease from 96.8% (95% CI, 96.6-97.1%) in 2000 to 36.9% (30.1-40.8%) in 2030, while the proportion of synthetic drug-only users will increase from 1.1% (0.9-1.3%) in 2000 to 57.7% (51.7-65.6%) in 2030. In contrast, the proportion of poly-drug users shared an increasing trend during 2000-2016 (from 2.1% (1.5-2.8%) to 15.1 (13.8-17.1%)) but declined to 5.5% (3.4-7.2%) in 2030. Estimated 46,370 (41,634-51,106) heroin-only users and 3767 (3481-4053) synthetic drug only users initiated poly-drug use in 2000. We observed a cross-over in 2012 where more synthetic drug-only users were initiating heroin use than heroin-only users initiating synthetic drug use. There will be estimated 2,094,052 (1,819,830-2,368,274) synthetic drug-only users and poly-drug users 211,407 (177,150-245,664) in 2030. CONCLUSIONS Synthetic drug use will become dominant in drug users in China, but poly-drug use of both heroin and synthetic drugs will remain substantial.
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Cao S, Liu F, Wang T, Tan Y, Liu S, Liu Y, Gao L, Chen L. New patterns emerge after a sustained increase in the incidence of hepatitis C virus infection from 2004 to 2017: a joinpoint regression analysis. Public Health 2019; 170:49-56. [PMID: 30928613 DOI: 10.1016/j.puhe.2019.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 01/02/2019] [Accepted: 01/18/2019] [Indexed: 12/01/2022]
Abstract
OBJECTIVES Hepatitis C virus (HCV) infection continues to be a major public health concern in China. There is little information available in the literature about age- and sex-specific HCV incidence trends. The goal of this study was to examine recent trends in HCV incidence rates in Hunan, China, according to age and gender. STUDY DESIGN A descriptive study was implemented with a joinpoint analysis. METHODS Based on the annual reported incidence data of hepatitis C in Hunan, China, from 2004 to 2017, we performed a joinpoint regression analysis to examine trends in the annual percentage change (APC) and the average annual percentage change (AAPC) in the incidence of HCV infection throughout the study period; we stratified the analysis by gender and age. The software calculates the APC, AAPC and the 95% confidence intervals for each trend segment and tests whether the slope for each segment has a significant difference from the prior segment using a Z test. RESULTS From 2004 to 2017, the overall incidence rate of HCV infection rose from 0.93 per 100,000 to 20.88 per 100,000 (AAPC, 25.2%). In particular, women aged ≥65 years had the fastest increasing rate (AAPC, 29.9%). The incidence of different demographic groups showed no significant difference in increasing trends before 2013. However, new patterns emerged after 2013: the incidence of people aged 0-14 years was no longer significantly elevated; a significant yearly decline occurred in the incidence of HCV in people aged 15-29 years; the incidence of HCV in people aged ≥30 years continued to increase, with significantly slower increasing rates than before; and women aged ≥65 years showed a significantly higher yearly increase in incidence than that in men in the same age group (APC, 11.1% in women versus 5.3% in men). CONCLUSION The overall increasing rate of HCV infection significantly slowed after 2007 and 2013. The differences in incidence trends among demographic groups have obviously increased in the last 5 years, and the reasons underlying these different trends urgently require further study. People in older age groups, especially women aged ≥65 years, still experienced increases in incidence rates in the last 5 years. This finding indicates that programmes for the prevention and control of HCV infection in older people require continued strengthening.
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Affiliation(s)
- Shiyu Cao
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, 410078, China
| | - Fuqiang Liu
- Department of Public Health Emergency Treatment, Hunan Center for Disease Control and Prevention (CDC), Changsha, Hunan Province, 410005, China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, 410078, China
| | - Yaqing Tan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, 410078, China
| | - Shujun Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, 410078, China
| | - Yuan Liu
- Department of Chronic Disease Control and Prevention, Hunan Center for Disease Control and Prevention (CDC), Changsha, Hunan Province, 410005, China
| | - Lidong Gao
- Department of Public Health Emergency Treatment, Hunan Center for Disease Control and Prevention (CDC), Changsha, Hunan Province, 410005, China.
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan Province, 410078, China.
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Chen T, Zhong N, Du J, Li Z, Zhao Y, Sun H, Chen Z, Jiang H, Zhao M. Polydrug use patterns and their impact on relapse among heroin-dependent patients in Shanghai, China. Addiction 2019; 114:259-267. [PMID: 30276902 DOI: 10.1111/add.14451] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 05/15/2018] [Accepted: 09/25/2018] [Indexed: 11/30/2022]
Abstract
AIMS To describe the polysubstance use patterns of heroin-dependent patients and to understand the impact of polysubstance use patterns on relapse during the 5 years after completing compulsory rehabilitation programmes. DESIGN In this secondary analysis, the baseline data of 503 heroin-dependent patients were linked with their 5-year follow-up data from official records. SETTING Four compulsory rehabilitation centres in Shanghai, China. PARTICIPANTS A total of 564 heroin-dependent patients who were discharged from Shanghai compulsory rehabilitation facilities in 2007 and 2008 were recruited. Among these, 503 patients with available follow-up records were included in this analysis. MEASUREMENTS The baseline measurements included the Addiction Severity Index, the Temperament and Character Inventory and the Medical Outcomes Study Social Support Scale. Relapses after discharge from the compulsory rehabilitation centres were extracted monthly from the official electronic record system. Latent class analysis was used to identify different polysubstance use patterns. Associations between the identified latent classes and heroin use and the factors related to relapse during the 5-year follow-up were analysed with the Cox regression model. FINDINGS Three latent classes were identified in this cohort: (1) alcohol polydrug users (APU; 13.7%), (2) low polydrug users (LPU; 76.5%) and (3) amphetamine-type stimulant polydrug users (ASPU; 9.7%). During the 5-year follow-up, 298 heroin patients relapsed, and the three groups showed different relapse rates (ASPU 69.4 versus LPU 60.5 versus APU 44.9%, P = 0.02). The average durations of abstinence for the three groups differed (ASPU 31.27 ± 3.41 months versus LPU 36.77 ± 1.19 months versus APU 42.46 ± 2.81 months, P = 0.02). Multivariate Cox regression analyses found that the LPU [hazard ratio (HR) = 1.63, 1.06-2.51] and ASPU (HR = 2.10, 1.24-3.56) classes were positively associated with the risk of heroin relapse. CONCLUSION Polydrug use patterns differ among heroin-dependent patients in compulsory rehabilitation programmes in China. A history of polydrug use may predict heroin relapse risk among patients in those compulsory rehabilitation programmes.
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Affiliation(s)
- Tianzhen Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhibin Li
- Jiading Mental Health Center, Shanghai, China
| | - Yan Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiming Sun
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhikang Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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