Mehran Rostami,1 Abdollah Jalilian,2 Mohammad Reza Ghadirzadeh,3 Bashir Nazparvar,3 Ramin Rezaei-Zangeneh1 and Mohammad Karamouzian4,5,6*
1Deputy of Health, Kermanshah University of Medical Sciences, Kermanshah, Islamic Republic of Iran. 2Department of Statistics, Faculty of Sciences, Razi University, Kermanshah, Islamic Republic of Iran. 3Legal Medicine Research Center, Legal Medicine Organization, Tehran, Islamic Republic of Iran. 4Centre on Drug Policy Evaluation, St. Michael’s Hospital, Toronto, Canada. 5Brown School of Public Health, Brown University, Providence, Rhode Island, United States of America (Correspondence to: M. Karamouzian:
Abstract
Background: Drug use disorders are significant social and public health concerns in the Islamic Republic of Iran; however, little is known about drug-related mortality.
Aims: We quantified the spatial and age distribution of direct illicit-drug-related mortality in the Islamic Republic of Iran, to inform harm reduction policies and interventions.
Methods: We modelled and mapped registered illicit-drug-related deaths from March 2016 to March 2017. Data were obtained from the Iranian Forensic Medicine Organization. Besag–York–Mollie models were fitted using Bayesian spatial analysis to estimate the relative risk of illicit-drug-related mortality across different provinces and age groups.
Results: There were 2203 registered illicit-drug-related deaths during the study period, 1289 (58.5%) occurred in people aged 20–39 years and among men (n = 2013; 91.4%). The overall relative risk (95% credible interval) of illicit-drug-related mortality in the provinces of Hamadan (3.37; 2.88–3.91), Kermanshah (1.90; 1.55–2.28), Tehran (1.80; 1.67–1.94), Lorestan (1.71; 1.37–2.09), Isfahan (1.40; 1.21–1.60), and Razavi Khorasan (1.18; 1.04–1.33) was significantly higher than in the rest of the country.
Conclusion: We found evidence of age differences and spatial variations in illicit-drug-related mortality across different provinces in the Islamic Republic of Iran. Our findings highlight the urgent need to revisit existing drug-use treatment and harm reduction policies and ensure that overdose prevention programmes are adequately available for different age groups and settings.
Keywords: illicit drug use, disorders, mortality, Bayesian analysis, overdose, harm reduction, Iran
Citation: Rostami M; Jalilian A; Ghadirzadeh MR; Nazparvar B; Rezaei-Zangeneh R; Karamouzian M. Bayesian spatial analysis of age differences and geographical variations in illicit-drug-related mortality in the Islamic Republic of Iran. East Mediterr Health J. 2023;29(1):24–32. https://doi.org/10.26719/emhj.23.003
Received: 06/12/20; accepted: 05/10/22
Copyright © Authors 2023; Licensee: World Health Organization. EMHJ is an open access journal. This paper is available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
Data on drug-use-related mortality in the Eastern Mediterranean Region (EMR) are scarce because of the limited capacities in surveillance and data analysis (1,2). However, mental health and drug-use disorders are significant contributors to years lost due to disability in several countries in the EMR (2). In the Islamic Republic of Iran, where data on drug-use disorders are more available than in the rest of the region, mental health and drug-use disorders are among the leading contributors to disease burden (3). Drug-use disorders are associated with many adverse mental and physical health outcomes, such as mood and anxiety disorders (4), HIV infection and viral hepatitis (5), suicidal ideation and attempts (6), and fatal overdose (7).
The Iranian Mental Health Survey of 7841 adults in 2011 estimated the past 12-month prevalence of drug-use disorders to be 2.4%; defined according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (4). The pattern of illicit drug-use in the Islamic Republic of Iran has changed, and methamphetamine use has increased significantly in the past few years (8,9), although opium remains the most frequently used illicit drugs (10). The sociocultural acceptability of opium in the Islamic Republic of Iran could be attributed to the history of its production in the country before the Islamic Revolution, its proximity to Afghanistan (the country with the highest opium production in the world), and its location on the Balkan drug trafficking route (7,11,12). A population size estimation in 2013 found that ~2 million people used drugs illicitly and ~200 000 injected drugs in the Islamic Republic of Iran (13). Drug-use disorders are more common among specific demographic categories, such as men, divorced people, and those with low socioeconomic status (4).
There is a growing body of evidence on the epidemiology of illicit drug-use in the Islamic Republic of Iran, but data on illicit-drug-related mortality are scarce and incomplete (14). According to forensic evidence, the overall death rate from illicit drug-use in 2015 was 3.82 per 100 000 (15). However, for several reasons, Iranian illicit-drug-related mortality statistics are prone to under-registration and misclassification bias (7,16). For example, the data are collected by a few health organizations using various techniques. An integrated source of data collection across the country is still lacking, which complicates estimation and monitoring of illicit-drug-related mortality over time (17). The use of accurate statistics from the Iranian Forensic Medicine Organization to assess the national and provincial burdens of illicit-drug-related mortality provides valuable insight for health policy-makers and informs resource allocation, interventions, and evaluation efforts (3).
In this study, we aimed to provide an overall picture of direct illicit-drug-related mortality (i.e. deaths specific to drug toxicity and not including blood-borne diseases associated with drug use) across different age groups and Iranian provinces. Our findings provide an overview of illicit-drug-related mortality in the Islamic Republic of Iran and help inform drug use treatment and harm reduction interventions in the country.
Methods
Study population
The Islamic Republic of Iran is a Muslim majority country in the EMR and has 31 provinces. About 80 million people were living in the country in 2016; 74% of whom resided in urban areas, 31% were aged 60 years (18).
Data sources
Under Iranian laws and regulations, all deaths due to suspicious or unknown causes are referred to the Forensic Medicine Organization. Forensic physicians and pathologists examine the cases, determine the exact cause of death, and issue death certificates (15,16). These certificates are commonly issued in response to law enforcement requests; therefore, the direct cause of death is summarized as "death due to illicit drug abuse", accompanied by the corresponding International Classification of Diseases codes (F11–F19) (16). For this study, data on all available illicit-drug-related mortality were obtained from the Iranian Forensic Medicine Organization. Additional data were retrieved about nationality, age group, sex, and the primary province of residence (18). We included 2203 direct drug-related deaths registered from 21 March 2016 to 20 March 2017, including 2013 deaths in men and 190 in women. This study interval was chosen because the relevant data were only available for this period.
Data analysis
Illicit drugs included opium and other unregulated opioids, amphetamines and unregulated stimulants, hallucinogens, inhalants, cannabinoids, psychoactive drugs, and other unspecified drugs (e.g. synthetic drugs). Given the small number of women who died from illicit drug use, we did not build sex-based spatial models to avoid potential sparse data bias. We used the Iranian Population and Housing Census of 2016 to obtain data on the age distribution of the provincial population (18). Age groups were categorized into 0–19, 20–39, 40–59, and ≥ 60 years.
Model characteristics
Despite racial homogeneity in the Islamic Republic of Iran, ethnic heterogeneity is significant, and languages, religion, and socioeconomic status vary significantly across different regions of the country. Therefore, we expected to see heterogeneity and spatial correlation in the relative risk (RR) of illicit-drug-related mortality. A statistical model that accounted for possible spatial correlation and province-specific variations was a reasonable choice for modelling illicit-drug-related mortality in the Islamic Republic of Iran. Therefore, we used a Bayesian model (i.e. Besag–York–Mollie) and mapped registered deaths to estimate mortality risk across the country. Bayesian hierarchical models help explain sampling variabilities in spatial random effects (19). The Besag–York–Mollie model is suitable for addressing unobserved heterogeneity or spatial correlation and independent province-specific variations (20). A scaled version of the Besag–York–Mollie model accounts for the spatially structured component and provides an intuitive way to assign priors to the model parameters (19,21). R version 3.6.1 (R Foundation, Vienna, Austria) was used for all statistical analyses.
Ethical considerations
The study protocol was reviewed and approved by the Ethics Committee of Kerman University of Medical Sciences (reference number: IR.KMU.REC.1397.433). No informed consent was required for this study, given the anonymized and deidentified nature of the illicit-drug-related mortality data.
Results
The present study included 2203 illicit-drug-related deaths, registered from 21 March 2016 to 20 March 2017. The age distribution was: 0–19 years (4.8%, n = 106); 20–39 years (58.5%, n = 1289); 40–59 years (31.7%, n = 698); and ≥ 60 years (5.0%, n = 110). Most deaths occurred in men (n = 2013; 91.4%).
Compared with the rest of the country, the overall RR of illicit-drug-related mortality was significantly higher in Hamadan (RR: 3.37; 95% credible intervals [CrI]: 2.88–3.91), Kermanshah (RR: 1.90; 95% CrI: 1.55–2.28), Tehran (RR: 1.80; 95% CrI: 1.67–1.94), Lorestan (RR: 1.71; 95% CrI: 1.37–2.09), Isfahan (RR: 1.40; 95% CrI: 1.21–1.60), and Razavi Khorasan (RR: 1.18; 95% CrI: 1.04–1.33) (Figure 1). Table 1 presents a summary of the number of illicit-drug-related deaths, Yi,j, and the respective population, Pi,j, for each province (i) in different age groups (j). Table 1 also presents the expected number of illicit-drug-related deaths, Ei,j, and the posterior mean of the RR, θi,j, for each province and age group. The posterior mean, standard deviation, and 95% CrI for model parameters μj, τj, and ϕj are presented in Table 2. Except for the 0–19-years age group, the overall number of observed illicit-drug-related deaths was smaller than their expected values under the null model of homogeneous illicit-drug-related mortality rates for the whole country (Table 2).
Posterior means of ϕj parameters implied that the proportion of the variation in the spatial random effect bi,j explained by spatial correlation was 50% for age 0–19 years, 40% for 20–39 years, 44% for 40–59 years, and 24% for ≥ 60 years (Table 2). Therefore, the spatial correlation among provinces was relatively low, as at least half of the spatial variations among provinces were caused by random noise. The posterior means of RR (θi,j) are shown in Figure 2. Figure 2 and Table 1 indicate age differences and spatial variations in illicit-drug-related mortality across different provinces. The presented RRs were compared with the global (country-level) estimate. In the 0–19-years age group, the RRs of illicit-drug-related mortality in the provinces of Razavi Khorasan (RR: 1.97; 95% CrI: 1.15–2.78) and Isfahan (RR: 1.80; 95% CrI: 1.03–2.91) were significantly higher than in the rest of the country. In the 20–39-years age group, the RRs of illicit-drug-related mortality in Hamadan (RR: 3.29; 95% CrI: 2.65–3.98), Kermanshah (RR: 2.28; 95% CrI: 1.79–2.82), Tehran (RR: 1.62; 95% CrI: 1.45–1.79), Lorestan 1.58 (95% CrI: 1.16–2.05), and Isfahan (RR: 1.52; 95% CrI: 1.27–1.80) were significantly higher than in the rest of the country. In the 40–59-years age group, the RRs of illicit-drug-related mortality in Hamadan (RR: 3.14; 95% CrI: 2.34–4.04), Lorestan (RR: 2.0; 95% CrI: 1.37–2.75), and Tehran (RR: 1.88; 95% CrI: 1.65–2.12) were significantly higher than in the rest of the country. In the ≥ 60-years age group, the RRs of illicit-drug-related mortality in Hamadan (RR: 5.24; 95% CrI: 2.94–8.18) and Tehran (RR: 2.46; 95% CrI: 1.83–3.16) were significantly higher than in the rest of the country.
Discussion
We used a spatial Bayesian model to estimate the spatial risk of illicit-drug-related mortality in the Islamic Republic of Iran. We found age differences and spatial variations in illicit-drug-related mortality across different provinces. Most illicit-drug-related deaths occurred in the 20–39-years age group and in the western provinces, comparable with previous studies in the country (15,16).
We found spatial variations in illicit-drug-related mortality in the Islamic Republic of Iran. These findings are consistent with previous reports suggesting that western and south-eastern provinces had the highest drug-related mortality between 2005 and 2012 (16). The observed heterogeneity in drug-related mortality could be partly associated with historical opioid use in some provinces and their proximity to the primary drug trafficking routes from Afghanistan to Europe. It may also be attributed to the different socioeconomic status, literacy levels, unemployment rates, and access to addiction treatment services across different provinces (4,16). Iranian investment in expanding harm reduction services, methadone maintenance treatment in particular, is promising and considered progressive in the EMR (10). For example, as of March 2018, > 700 000 clients had received methadone maintenance services in 7225 outpatient centres (10). However, opioid agonist treatment coverage and accessibility varied greatly and were suboptimal in impoverished settings and border provinces (4,22). Our spatial estimates shed light on the existing geographic disparities in accessing harm reduction and drug use treatment and suggest that relevant interventions and resource allocations need to pay attention to areas with higher risk of drug-related mortality. More importantly, the existing disparities highlight the need to complement existing opioid agonist treatment services by scaling up nationwide, evidence-informed interventions for overdose prevention and management. This could include: increasing the availability and accessibility of naloxone for people likely to experience an opioid overdose; expanding overdose interventions delivered within emergency departments; educating frontline health workers and first responders about detection and treatment of people with overdose symptoms; and supporting community-based and peer-led opioid overdose prevention programmes and responses (23–27).
Our findings highlighted the limitations of current registry systems for illicit drug-use-related deaths and identified potential areas for improvement. In the Islamic Republic of Iran, diagnosis and official registration of deaths are carried out by two primary independent organizations (i.e. medical universities operating under the Ministry of Health and Medical Education, and the Forensic Medicine Organization operating under the supervision of the judiciary system). However, these two organizations do not sufficiently communicate to keep death records updated (28). Given the importance of illicit drug-use-related death data in drug-use surveillance and relevant public health decision-making in the Islamic Republic of Iran, there is a need to ensure that specific details about illicit drug-related deaths (e.g. type and class of drug, and mode of use) are recorded and reported (29). Inconsistent coding practices across clinical settings must be standardized using valid and specific International Classification of Diseases codes. This cannot be achieved without increasing awareness and training about accurate record keeping of illicit drug-use-related deaths for forensic physicians and other healthcare providers involved in recording the causes of death in such cases (30).
Our findings regarding the number of illicit-drug-related events among younger age groups are concerning. Our data cannot elucidate the underlying reasons behind these deaths, but this observation may be explained by a decrease in the age of drug-use initiation among children and adolescents, or because mortality in the 0–19-years age group could have included deaths from accidental drug poisoning (15,31,32). Regardless of the underlying cause of the notable death rate among children and young adults, these findings are alarming. They highlight the need for future overdose-related studies in this age group and improved public health education campaigns and interventions to increase awareness among young people about the overdose risks associated with illicit drugs and prescription opioids (33,34).
Our study had some limitations. First, the numbers of deaths reported by the Iranian Drug Control Headquarters and World Drug Report (2018) based on the estimates of the Ministry of Health and Medical Education were higher than those reported in our study. Our use of a selective administrative database such as the Forensic Medicine Organization may have underestimated the number of illicit-drug-related deaths because the organization does not cover all death registrations across the country. Some deaths in rural and remote areas are not referred to the Forensic Medicine Organization for further investigation. There is a time lag between the date of death and when the cause of death is updated in Forensic Medicine Organization records because of the time and resources required to complete an autopsy. Some of the initial clinical reports on drug-related deaths may be revoked after detailed investigation by the Forensic Medicine Organization. Second, our data did not include deaths associated with alcohol use, and we could not assess differential death rates by type of drug because the Forensic Medicine Organization database did not provide data on the type of drug detected during autopsy. Third, given the nature of the data available to us, we did not have any information on drug-specific cause of death, marital status, occupation, and educational levels, which could have been correlated with illicit-drug-related deaths (15,35). Our provincial data could not provide accurate data on homeless populations who may have died in a province other than their own. Fourth, we could not conduct a sex-specific analysis because of the small number of deaths recorded among women. We were unable to subdivide the 0–19-years age group because of the small sample size, which limited our ability to provide more details on specific groups of children or adolescents. Lastly, the data provided to us did not include detailed information on the manner of death (e.g. accidental or deliberate poisoning) and indirect deaths due to illicit drug use (e.g. road traffic injuries).
Conclusion
We examined data collected from the Iranian Forensic Medicine Organization and identified significant diversity in spatial risk of illicit-drug-related mortality across different age groups and provinces in the Islamic Republic of Iran. Our findings highlight the urgent need to revisit existing harm reduction and drug use treatment policies to ensure that preventive measures, such as overdose prevention and management programmes, are supported and scaled up.
Acknowledgement
The authors are thankful to Dr. Behzad Mahaki for his helpful feedback on the paper. Mohammad Karamouzian was supported by a Banting Postdoctoral Fellowship.
Funding: The study was funded by Kerman University of Medical Sciences.
Competing interests: None declared.
Analyse spatiale bayésienne des différences d'âge et des variations géographiques de la mortalité liée à la consommation de drogues illicites en République islamique d'Iran
Résumé
Contexte : Les troubles liés à la consommation de drogues constituent des préoccupations sociales et de santé publique importantes en République islamique d'Iran ; cependant, très peu d'informations sont disponibles sur la mortalité liée à la drogue.
Objectifs : Nous avons quantifié la distribution géographique et la répartition selon l'âge de la mortalité directement liée à la consommation de drogues illicites en République islamique d'Iran, afin de guider les politiques et les interventions en matière de réduction des effets nocifs.
Méthodes : Nous avons modélisé et recensé les décès liés à la consommation de drogues illicites enregistrés entre mars 2016 et mars 2017. Les données ont été obtenues auprès de l'Organisation de médecine légale iranienne. Les modèles de Besag, York et Mollié ont été ajustés à l'aide d'une analyse spatiale bayésienne pour estimer le risque relatif de mortalité liée à la consommation de drogues illicites dans les différentes provinces et les différents groupes d'âge.
Résultats : Durant la période de l'étude, 2203 décès liés à la consommation de drogues illicites ont été enregistrés, 1289 (58,5 %) sont survenus chez des personnes âgées de 20 à 39 ans et chez des hommes (n = 2013 ; 91,4 %). Le risque relatif global (intervalle de crédibilité à 95 %) de mortalité liée aux drogues illicites dans les provinces de Hamadan (3,37 ; 2,88-3,91), Kermanshah (1,90 ; 1,55-2,28), Téhéran (1,80 ; 1,67-1,94), Lorestan (1,71 ; 1,37-2,09), d'Ispahan (1,40 ; 1,21-1,60) et de Razavi Khorasan (1,18 ; 1,04-1,33) était nettement plus élevé que dans le reste du pays.
Conclusion : Nous avons constaté des différences d'âge et des variations géographiques en matière de mortalité liée à la consommation de drogues illicites dans différentes provinces de la République islamique d'Iran. Nos résultats soulignent le besoin urgent de revoir les politiques existantes relatives à la prise en charge de la consommation de drogues et à la réduction des effets nocifs ainsi que de veiller à ce que les programmes de prévention des surdoses soient disponibles de manière adéquate pour les différents groupes d'âge et contextes.
تحليل مكاني بطريقة بايز للفروق العمرية والتباينات الجغرافية في الوفيات المرتبطة بالمخدرات غير المشروعة في جمهورية إيران الإسلامية
مهران رستمی، عبد الله جلیلیان، محمد رضا قدیرزاده، بشير ناز پرور، رامين رضایی زنگنه، محمد کارآموزیان
الخلاصة
الخلفية: إن اضطرابات تعاطي المخدرات في جمهورية إيران الإسلامية أحد الشواغل الرئيسية للصحة العامة والشواغل الاجتماعية ذات الشأن؛ ومع ذلك لا يُعرف الكثير عن الوفَيَات المرتبطة بتعاطي المواد المخدرة.
الأهداف: هدفت هذه الدراسة الى إجراء تقدير كمي لحجم التوزيع المكاني والعمري للوفيات المباشرة المرتبطة بالمخدرات غير المشروعة في جمهورية إيران الإسلامية، بالإضافة إلى تقديم المعلومات اللازمة للسياسات والتدخلات الرامية إلى الحد من الأضرار.
طرق البحث: صممنا ووضعنا خرائط للوفيات المرتبطة بالمواد المخدرة غير المشروعة المسجلة في الفترة من مارس/ آذار 2016 إلى مارس/ آذار 2017. وجرى الحصول على البيانات من مؤسسة الطب الشرعي بإيران. وجرى كذلك ضبط نماذج بيساج-يورك-مولي باستخدام التحليل المكاني بطريقة بايز لتقدير الخطر النسبي للوفيات المرتبطة بالمخدرات غير المشروعة في مختلف المحافظات والفئات العمرية.
النتائج: تبيَّن وجود 2203 حالة وفاة مسجلة بسبب المخدرات غير المشروعة خلال فترة الدراسة، وحدثت 1289 حالة وفاة (58.5%) بين أشخاص تتراوح أعمارهم بين 20 و39 سنة وبين الرجال (n = 2013؛ 91.4%). وكان الخطر النسبي العام (الفاصل الزمني الموثوق به بنسبة 95%) للوفيات الناجمة عن المخدرات غير المشروعة في محافظات همدان (3.37؛ 2.88-3.91)، وكرمانشاه (1.90؛ 1.55-2.28)، وطهران (1.80؛ 1.67-1.94)، ولورستان (1.71؛ 1.37-2.09)، إصفهان (1.40؛ 1.21-1.60)، رضوى خراسان (1.18؛ 1.04-1.33)، وذلك أعلى كثيرًا مما هو عليه في بقية البلاد.
الاستنتاجات: وقفنا على أدلة على الاختلافات العمرية والتباينات المكانية في الوفيات المرتبطة بالمواد المخدرة غير المشروعة في مختلف المحافظات في جمهورية إيران الإسلامية. وتبرز النتائج التي توصلنا إليها الحاجة الملحة إلى إعادة النظر في السياسات الحالية للعلاج من تعاطي المخدِّرات والحد من أضرارها، وضمان إتاحة برامج الوقاية من الجرعات المفرطة على نحو كافٍ لمختلف الفئات العمرية والبيئات.
References
1. Karamouzian M, Madani N, Doroudi F, Haghdoost AA. Improving the quality and quantity of HIV data in the Middle East and North Africa: key challenges and ways forward. Int J Health Policy Manage. 2017 Feb 1;6(2):65–9. https://doi.org/10.15171/ijhpm.2016.112 PMID:28812781
2. Mokdad AH, Forouzanfar MH, Daoud F, El Bcheraoui C, Moradi-Lakeh M, Khalil I, et al. Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Glob Health. 2016 Oct;4(10):e704–13. https://doi.org/10.1016/S2214-109X(16)30168-1 PMID:27568068
3. Moazen B, Shokoohi M, Noori A, Rahimzadeh S, Saeedi Moghaddam S, Rezaei F, et al. Burden of drug and alcohol use disorders in Iran: findings from the Global Burden of Disease Study 2010. Arch Iran Med. 2015 Aug;18(8):480–5. PMID:26265515
4. Amin-Esmaeili M, Rahimi-Movaghar A, Sharifi V, Hajebi A, Radgoodarzi R, Mojtabai R, et al. Epidemiology of illicit drug use disorders in Iran: prevalence, correlates, comorbidity and service utilization results from the Iranian Mental Health Survey. Addiction. 2016 Oct;111(10):1836–47. https://doi.org/10.1111/add.13453 PMID:27177849
5. Rahimi-Movaghar A, Amin-Esmaeili M, Shadloo B, Noroozi A, Malekinejad M. Transition to injecting drug use in Iran: A systematic review of qualitative and quantitative evidence. Int J Drug Policy. 2015 Sep;26(9):808–19. https://doi.org/10.1016/j.drugpo.2015.04.018 PMID:26210009
6. Poorolajal J, Haghtalab T, Farhadi M, Darvishi N. Substance use disorder and risk of suicidal ideation, suicide attempt and suicide death: a meta-analysis. J Public Health (Oxf). 2016 Sep;38(3):e282–91. https://doi.org/10.1093/pubmed/fdv148 PMID:26503486
7. Rostami M, Karamouzian M, Khosravi A, Rezaeian S. Gender and geographical inequalities in fatal drug overdose in Iran: a province-level study in 2006 and 2011. Spat Spatiotemporal Epidemiol. 2018 Jun;25:19–24. https://doi.org/10.1016/j.sste.2018.01.001 PMID:29751889
8. Alam-mehrjerdi Z, Mokri A, Dolan K. Methamphetamine use and treatment in Iran: a systematic review from the most populated Persian Gulf country. Asian J psychiatry. 2015 Aug;16:17–25. https://doi.org/10.1016/j.ajp.2015.05.036 PMID:26123235
9. Sharifi H, Shokoohi M, Ahmad RafieiRad A, Sargolzaie Moghadam M, Haghdoost A-A, Mirzazadeh A, et al. Methamphetamine use among Iranian youth: a population-based knowledge, attitude, and practice study. Substance Use Misuse. 2017 Jul 29;52(9):1214–21. https://doi.org/10.1080/10826084.2017.1303509 PMID:28605272
10. Ekhtiari H, Noroozi A, Farhoudian A, Radfar SR, Hajebi A, Sefatian S, et al. The evolution of addiction treatment and harm reduction programs in Iran: a chaotic response or a synergistic diversity? Addiction. 2020 Jul;115(7):1395–403. https://doi.org/10.1111/add.14905 PMID:31737965
11. Zolala F, Mahdavian M, Haghdoost AA, Karamouzian M. Pathways to addiction: A gender-based study on drug use in a triangular clinic and drop-in center, Kerman, Iran. Int J High Risk Behav Addict. 2016 Feb 28;5(2):e22320. https://doi.org/10.5812/ijhrba.22320 PMID:27622164
12. Noroozi A, Kebriaeezadeh A, Mirrahimi B, Armoon B, Ahounbar E, Narenjiha H, et al. Opium tincture-assisted treatment for opioid use disorder: a systematic review. J Subst Abuse Treat. 2021 Oct;129:108519. https://doi.org/10.1016/j.jsat.2021.108519 PMID:34119894
13. Nikfarjam A, Shokoohi M, Shahesmaeili A, Haghdoost AA, Baneshi MR, Haji-Maghsoudi S, et al. National population size estimation of illicit drug users through the network scale-up method in 2013 in Iran. Int J Drug Policy. 2016 May;31:147–52. https://doi.org/10.1016/j.drugpo.2016.01.013 PMID:26980349
14. Moradi-Lakeh M, Sepanlou SG, Karimi SM, Khalili N, Djalalinia S, Karimkhani C, et al. Trend of socio-demographic index and mortality estimates in Iran and its neighbors, 1990–2015; findings of the global burden of diseases 2015 study. Arch Iran Med. 2017;20(7):419–28.
15. Ghoreishi SMS, Shahbazi F, Mirtorabi SD, Ghadirzadeh MR, Nazari SSH. Epidemiological study of mortality rate from alcohol and illicit drug abuse in Iran. J Res Health Sci. 2017 Oct 14;17(4):e00395. PMID:29233952
16. Rostami M, Mohammadi Y, Jalilian A, Nazparvar B. Modeling spatio-temporal variations of substance abuse mortality in Iran using a log-Gaussian Cox point process. Spat Spatiotemporal Epidemiol. 2017 Aug;22:15–25. https://doi.org/10.1016/j.sste.2017.05.002 PMID:28760264
17. Rostami M, Rezaeian S. Challenges of estimates in drug-related overdose deaths in Iran: evidence from the literature. Iran J Public Health. 2020 Aug;49(8):1592–3. https://doi.org/10.18502/ijph.v49i8.3914 PMID:33083345
18. Census 2016. Iran Data Portal; 2016 (https://irandataportal.syr.edu/census/census-2016, accessed 22 November 2022).
19. Lawson AB. Bayesian disease mapping: hierarchical modeling in spatial epidemiology. 2nd edition. Chapman & Hall/CRC Press; 2013.
20. Lee D. A comparison of conditional autoregressive models used in Bayesian disease mapping. Spat Spatiotemporal Epidemiol. 2011 Jun;2(2):79–89. https://doi.org/10.1016/j.sste.2011.03.001 PMID:22749587
21. Simpson D, Rue H, Riebler A, Martins TG, Sørbye SH. Penalising model component complexity: A principled, practical approach to constructing priors. Statist Sci. 2017 Feb;32(1):1–28. https://doi.org/10.1214/16-STS576
22. Nakhaeizadeh M, Abdolahinia Z, Sharifi H, Mirzazadeh A, Haghdoost AA, Shokoohi M, et al. Opioid agonist therapy uptake among people who inject drugs: the findings of two consecutive bio-behavioral surveillance surveys in Iran. Harm Reduct J. 2020 Jul 22;17(1):1–8. https://doi.org/10.1186/s12954-020-00392-1 PMID:32698875
23. Chen Y, Wang Y, Nielsen S, Kuhn L, Lam T. A systematic review of opioid overdose interventions delivered within emergency departments. Drug Alcohol Depend. 2020 May 23;213:108009. https://doi.org/10.1016/j.drugalcdep.2020.108009 PMID:32580113
24. Clark AK, Wilder CM, Winstanley EL. A systematic review of community opioid overdose prevention and naloxone distribution programs. J Addict Med.. 2014 May–Jun;8(3):153–63. https://doi.org/10.1097/ADM.0000000000000034 PMID:24874759
25. Mercer F, Miler JA, Pauly B, Carver H, Hnízdilová K, Foster R, et al. Peer support and overdose prevention responses: a systematic ‘state-of-the-art’review. Int J Environ Res Public Health. 2021 Nov 17;18(22):12073. https://doi.org/10.3390/ijerph182212073 PMID:34831839
26. McDonald R, Strang J. Are take‐home naloxone programmes effective? Systematic review utilizing application of the Bradford Hill criteria. Addiction. 2016 Jul;111(7):1177–87. https://doi.org/10.1111/add.13326 PMID:27028542 PMCID: PMC5071734
27. Community management of opioid overdose. Geneva: World Health Organization; 2014 (https://www.who.int/publications/i/item/9789241548816, accessed 22 November 2022).
28. Karamouzian M, Rostami M. Suicide statistics in Iran: let’s get specific. Am J Mens health. 2019 Jan–Feb;13(1):1557988318807079. https://doi.org/10.1177/1557988318807079 PMID:30339039
29. Rostami M, Nazparvar B, Rezaeian S. Differences among official statistics of mortality rates in Iran. J Occup Health Epidemiol. 2018;7(4):192–3. https://johe.rums.ac.ir/article-1-330-en.pdf
30. Slavova S, Delcher C, Buchanich JM, Bunn TL, Goldberger BA, Costich JF. Methodological complexities in quantifying rates of fatal opioid-related overdose. Curr Epidemiol Rep. 2019;6(2):263-74. https://doi.org/10.1007/s40471-019-00201-9 PMID:31259141
31. Akhgari M, Amini‐Shirazi N, Iravani FS. Forensic toxicology perspectives of methadone‐associated deaths in Tehran, Iran, a 7‐year overview. Basic Clin Pharmacol Toxicol. 2018 Apr;122(4):436–41. https://doi.org/10.1111/bcpt.12930 PMID:29076627
32. Gheshlaghi F, Piri-Ardakani M-R, Yaraghi M, Shafiei F, Behjati M. Acute poisoning in children; a population study in isfahan, iran, 2008-2010. Iran J Pediatr. 2013 Apr;23(2):189–93. PMID:23724181
33. Faggiano F, Minozzi S, Versino E, Buscemi D. Universal school‐based prevention for illicit drug use. Cochrane Database of Syst Rev. 2014(12): CD003020. https://doi.org/10.1002/14651858.CD003020.pub3 PMID:25435250
34. Das JK, Salam RA, Arshad A, Finkelstein Y, Bhutta ZA. Interventions for adolescent substance abuse: an overview of systematic reviews. J Adolesc Health. 2016 Oct;59(4S):S61–75. https://doi.org/10.1016/j.jadohealth.2016.06.021 PMID:27664597
35. Shahbazi F, Mirtorabi D, Ghadirzadeh MR, Hashemi-Nazari SS. Analysis of mortality rate of illicit substance abuse and its trend in five years in Iran, 2014-2018. Addict Health. 2018 Oct;10(4):260–8. https://doi.org/10.22122/ahj.v10i4.602 PMID:31263525
