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Review Article
The prevalence of tobacco, alcohol, stimulant, khat, and cannabis use among school-going students in African and Arab countries: a systematic review and meta-analysis
Chaimaa El Moubchiri1orcid, Mohamed Chahboune1orcid, Morad Guennouni1,2orcid, Abderraouf Hilali1orcid

DOI: https://doi.org/10.24171/j.phrp.2024.0204
Published online: December 13, 2024

1Hassan First University of Settat, Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences, Settat, Morocco

2Chouaîb Doukkali University of El Jadida, Higher School of Education and Training, Science and Technology Team, El Jadida, Morocco

Corresponding author: Chaimaa El Moubchiri Hassan First University of Settat, Laboratory of Health Sciences and Technologies, Higher Institute of Health Sciences. Route de Casablanca km 3,5 université hassan 1er BP 555 Settat - Morocco E-mail: elmoubchiri.isss@uhp.ac.ma
• Received: July 20, 2024   • Revised: October 17, 2024   • Accepted: November 11, 2024

© 2024 Korea Disease Control and Prevention Agency.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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  • Objectives
    The objectives of this review and meta-analysis were twofold: first, to determine the prevalence of substance use among school-going children in Arab and African countries; and second, to highlight the considerable influence of variables such as the nation’s region and the timeframe of the study on the prevalence of substance use.
  • Methods
    Research was sourced from Science Direct, Scopus, Web of Science, Google Scholar, and PubMed. Thirty-seven articles were incorporated in accordance with the PRISMA guidelines. This review included studies published from 2013 to 2023. The statistical meta-analysis was performed using Comprehensive Meta-Analysis ver. 3 software. Across 37 studies, the total number of study participants was 73,508.
  • Results
    The meta-analysis revealed that tobacco was the most commonly used substance, with a prevalence of 16% (95% confidence interval [CI], 12.7%–20.02%). This was closely followed by alcohol, which had a prevalence of 15% (95% CI, 10.5%–22.8%), stimulants at 11.4% (95% CI, 7.4%–17%), khat at 10% (95% CI, 5.7%–15%), and cannabis at 8% (95% CI, 3.3%–18.4%). Notably, alcohol was the only substance that showed an increasing trend in prevalence from before to after 2019, rising from 13.3% (95% CI, 6.2%–26.1%) to 17% (95% CI, 10.2%–27%) (p<0.001). Additionally, the prevalence of substance use varied significantly between Arab and African countries (p<0.001).
  • Conclusion
    Although the prevalence of substance use among school-going populations has significantly decreased over time, with the exception of alcohol, it is imperative that both African and Arab countries implement comprehensive measures and stringent laws to address the production and marketing of substances.
Today, the world is home to 1.9 billion adolescents, the highest number in history, accounting for 24% of the global population [1]. In the Middle East and North Africa region, predominantly composed of low- and middle-income countries, adolescents aged 10 to 19 constitute 17% of the population, with nearly half of the region’s inhabitants under 30. Despite significant potential benefits, efforts to improve adolescent health in this region are advancing slowly [2]. While the incidence of communicable diseases has significantly decreased in recent decades, this progress has been overshadowed by the emergence of non-communicable diseases, mental health issues, unintentional injuries, self-harm, and the health consequences of ongoing regional conflicts. Moreover, preventable risk factors such as high body mass index and tobacco use continue to be widespread [3].
Substance use has emerged as a significant public health issue among adolescents, defined by the regular consumption of substances such as alcohol or psychoactive drugs in harmful quantities or through dangerous methods [4]. Early initiation and polysubstance use are strong predictors of future problems related to substance use. Despite this, adolescents frequently do not seek help for these issues, underscoring the importance of early interventions to prevent long-term consequences [4].
Globally, substance use results in significant health impacts, accounting for 494,000 deaths and 30.9 million disability-adjusted life years as reported in the World Drug Report 2021 [5]. In addition to health consequences, substance use presents moral, social, and economic challenges. No country is immune to these issues. However, certain regions, such as North Africa and the Eastern Mediterranean—key transit areas for illicit drugs—are especially vulnerable. This vulnerability is exacerbated by rapid social changes and ongoing conflicts. The rising trends of substance use among youth (ages 15–24) and women, with increasing dependence on substances like cannabis, sedatives, opiates, and stimulants, reflect this vulnerability [6].
Understanding the terminology related to substance use is essential: harmful use involves consumption that directly damages health, hazardous use refers to consumption that increases the risk of harm, and intoxication is a disruption of mental and physical functions due to acute effects. Substance abuse is characterized as a pattern of use that leads to significant impairment or distress [7]. Several factors contribute to substance use, such as genetic predisposition, family dynamics, environmental influences, and psychological well-being [8].
In Africa, cannabis is the most commonly used illicit substance, with prevalence rates ranging from 5.2% to 13.5% in West and Central Africa. Amphetamine-type stimulants rank as the second most prevalent, while benzodiazepines and inhalants are also used in some countries. For instance, in Sierra Leone, 3.7% of youth engage in injecting drug use [9]. In the Middle East and North Africa region, where 50% of the population is under 24 and 1 in 5 individuals is aged between 10 and 24, these young people have the potential to drive change if provided with opportunities for education and skill development [10]. However, substance use among students poses significant risks, including academic decline and increased vulnerability to sexually transmitted infections, such as human immunodeficiency virus, during intoxication [11].
Despite numerous studies, comprehensive assessments of substance use prevalence among school-going students in Africa and Arab countries remain limited. This systematic review and meta-analysis aimed to address this gap by offering a broad perspective on substance use among school-going populations in both Africa and Arab countries. Additionally, it examined how regional conditions influence substance use trends over time, providing insights to inform effective prevention and intervention strategies.
Protocol and Registration
This systematic review and meta-analysis was prepared and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Supplementary Material 1) [12]. The protocol was registered on PROSPERO (CRD4202345643).
Search Strategy
In order to conduct this meta-analysis, the chosen studies were required to meet the following criteria: they were published between January 1, 2013, and June 1, 2023. A comprehensive search was conducted across several databases, including Web of Science, Scopus, Google Scholar, Science Direct, and PubMed. These databases are commonly utilized for indexing publications related to health and substance use. The study was conducted from August to October 2023. Given the rapid evolution of knowledge in health and behavioral sciences, our systematic review aims to synthesize the most recent evidence from the past decade concerning substance use, thereby providing valuable insights for practitioners, policymakers, and researchers. The research algorithm used involved various permutations of keywords, which were categorized as follows: (1) topic (e.g., substance use, substance consumption, prevalence of substance use); (2) population (e.g., students, school-going children, adolescents); (3) outcome (e.g., prevalence of psychoactive substance use, prevalence of substance consumption).
Table S1 provides a detailed explanation of the algorithmic strategy used in this research. This document specifies the dates, platforms/interfaces, and databases utilized, lists the terms incorporated, describes the conjunctions employed to form the search string, and presents the resulting number of findings.
Inclusion and Exclusion Criteria
This review included publications in English that provided accessible abstracts and focused on research conducted in African countries or the Arab countries. The studies specifically targeted school-going children, aiming to measure the prevalence of psychoactive substance use. Inclusion criteria were limited to research published between January 1, 2013, and June 1, 2023, that specifically examined school-going populations. Studies were excluded if they failed to provide data on the prevalence of substance use among students, were qualitative without quantifying substance use, or were literature reviews or book chapters.
Study Selection
The selection process involved multiple steps to ensure a thorough and unbiased review. Initially, 2 postgraduate students independently examined studies by reviewing their titles, abstracts, and keywords. They removed duplicates and those that did not meet the inclusion criteria. Subsequently, they carefully assessed the full texts of the remaining articles to determine their eligibility based on the established criteria. In cases of disagreement, the 2 primary assessors (E.C.M. and M.G.) resolved issues through structured discussion. If consensus could not be reached, a senior professor was consulted to provide a final judgment. This process ensured that any potential bias or inconsistencies in evaluation were resolved through an impartial third party.
Review Question
This evaluation followed the guidelines set forth in the PRISMA framework [12]. The primary objective of this study was to explore 2 main questions: “Which studies have investigated the prevalence of substance use among students in the Arab region and Africa?” and “What was the reported prevalence of substance use according to the category of substances used in each study?” Additionally, the study aimed to compare and emphasize the potential impact of variables such as the geographical location of the country and the time period of the study on the prevalence of psychoactive substance use among students.
Data Screening and Selection
Data collection was conducted using a structured form to gather the following details: citation information, authorship years, geographical location, prevalence of substances, categories of substances used, and methods for analyzing the prevalence of substance use in studies. To ensure the accuracy and reliability of the data, 2 independent postgraduate students cross-checked the extracted data to verify consistency with the original studies. Any discrepancies in data extraction were resolved through consensus between the 2 assessors, and the final data were verified by a senior professor. This multi-step verification process was implemented to maintain the quality and accuracy of the data used in the analysis.
Appraisal of Study Quality and Risk of Bias
The methodological quality and risk of bias assessment were primarily conducted by E.C.M. and M.G., with additional input provided through discussions among all authors. This comprehensive evaluation adhered to the Joanna Briggs Institute (JBI) Meta-analysis of Statistics Assessment and Review Instrument (MAStARI) protocol [13]. The findings from these studies were categorized by their quality as high, moderate, or low. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE approach) was used to evaluate the overall quality of evidence for each reported outcome (Table S2) [11,1448], and the Cochrane Collaboration assessment tool was employed to assess the risk of bias [49].
The risk of bias was categorized into 3 levels based on responses of “yes” or “no.” A study was considered to have a low risk of bias if over 70% of the responses were “yes.” A moderate risk was indicated if affirmative responses ranged from 50% to 70%, and a high risk was noted if less than 50% of the responses were affirmative (Table S3) [11,1448]. To ensure reliability, 2 postgraduate students independently assessed each study for quality and bias. Any discrepancies in their evaluations were resolved through discussion to reach a consensus. If necessary, a senior professor reviewed the study to make the final decision. This rigorous, multi-step process ensured a comprehensive and balanced evaluation of the overall quality and potential biases in the included studies.
Data Analysis and Synthesis
The decision regarding the type of meta-analysis model (random effects, fixed effects, or mixed effects) depended significantly on the presence or absence of heterogeneity. Once this was determined, forest plots were generated to illustrate the prevalence of substance use, with a 99% confidence interval (CI) presented on a logarithmic scale. Heterogeneity was evaluated using the I2 method [50,51], which quantifies the proportion of variability in outcomes across studies that can be attributed to heterogeneity rather than sampling error [52] The I2 value indicates the degree of heterogeneity, with values between 50% and 75% signifying moderate heterogeneity and values exceeding 75% indicating high heterogeneity. Values below 50% suggest homogeneity among the study results, and forest plots were used to visualize this apparent heterogeneity. The risk of bias, specifically publication bias, between studies was assessed by examining the symmetry or asymmetry of the funnel plots. The meta-analysis was conducted using Comprehensive Meta-Analysis version 3 software, (Biostat Inc.). The goal of this analysis is to provide recommendations for prevention strategies to be implemented during efforts to reduce and prevent substance use among young school-going children.
Search Results
The search identified 5,246 studies from Science Direct, 499 from PubMed, 171 from Web of Science, 65 from Scopus, and 1 from Google Scholar. These journals and databases were specifically chosen for their relevance to health and substance use research, particularly focusing on peer-reviewed publications that target school-going populations in African and Arab countries. After eliminating 970 duplicates and applying the inclusion and exclusion criteria, 80 studies were considered eligible for review. Subsequently, 43 of these studies were excluded after full-text assessments revealed issues such as inadequate sample sizes and the absence of reliability or validity evaluations. Ultimately, 37 studies met all criteria and were included in the final review (Figure 1).
Study Characteristics
Every study included in this systematic review and meta-analysis utilized a cross-sectional design. The sample sizes varied across the studies, ranging from 234 to 10,684 participants. In total, this systematic review and meta-analysis included 73,508 participants. The research was conducted between 2013 and 2023 and spanned various regions in African and Arab countries, with the mean (or median) age of participants ranging from 13 to 21 years (Table 1) [11,1448,53].
The review included studies from 19 countries, with the majority conducted in Africa, especially in North Africa (n=13) [1830], followed by Eastern African countries (n=7) [11,3136] Western African countries (n=5) [3740,53], Southern African countries (n=2) [41,42], and Central African countries (n=1) [43]. Additionally, studies from Arab countries were included (n=9) [14-17,44-48].
Risk of Bias in Studies and Appraisal of Study Quality
Among the 37 studies included in this review, 13 demonstrated a 100% risk of bias, which corresponds to a low risk of bias. The reporting of the substances analyzed, the measured prevalence for each type of substance, the methods used, and a well-described study protocol in the Materials and Methods section were free from bias. The prevalence of substance use, the reporting of the most commonly used substances, and the indication of the study year were reported without bias in 36 of the included studies. Only 1 study, conducted by Raffee et al. [17], had a 71.42% risk of bias concerning the prevalence of substance use and the most commonly used substance in the sample. Fifteen studies reported on the risk of bias associated with funded studies, highlighting that financial support often led to an expansion of the sample size. Table S3 discloses the affirmative (yes) response percentages for each study included in this review and provides detailed information concerning the responses related to the evaluation of bias risk.
The quality appraisal of studies included in this systematic review was conducted using the JBI characteristics. The appraisal revealed that all 37 studies assessed demonstrated strong methodological rigor. Specifically, the following criteria were evaluated: (1) Sample frame: All studies provided an appropriate sample frame addressing the target population; (2) Participant characteristics: Each study clearly described the characteristics of the participants; (3) Sample size: All studies reported adequate sample sizes for their respective analyses; (4) Study subjects and setting: Detailed descriptions of the study subjects and settings were provided in each article; (5) Data analysis: Sufficient coverage of the identified sample was evident in the data analysis conducted; (6) Study objectives: The objectives of the studies were clearly stated and aligned with the findings; (7) Statistical analysis: Each study employed appropriate statistical analyses to support their conclusions.
Given that all appraisal criteria were met, we assessed the overall quality of evidence as high according to the GRADE framework. This high-quality assessment indicates that the findings reported in this review are reliable and can be confidently applied in practice and policy (Table S4).
Results of Syntheses

Prevalence of substance use according to the category of substances

The meta-analysis showed that tobacco is the most commonly used substance among those examined. There was significant variability in outcomes across studies, indicating substantial heterogeneity in the results. Notably, the prevalence of alcohol consumption and stimulant use were also high, followed by the use of khat and cannabis. All statistics were calculated using a random-effects model (Figures 26).

Prevalence of substance use according to continent

The prevalence of tobacco use, the most commonly used substance, was estimated to be higher in the Arab countries at 18% compared to 14% in Africa (95% CI, 13.7%–23.2%; p<0.001; 95% CI, 11.3%–18.6%; p<0.001).
The estimated prevalence of alcohol consumption was higher in Africa at 16.7% than in the Arab countries at 7% (95% CI, 10.6%–25.2%; p<0.001; 95% CI, 3.6%–13.2%; p<0.001) respectively. However, the use of khat was significantly more prevalent in Arab countries, at 14%, than in Africa, where the prevalence rate was 9% (95% CI, 3.4%–44.1%; p<0.001 and 95% CI, 4.3%–21.3%; p<0.001, respectively).
The prevalence of stimulant use was estimated to be approximately 10% in Africa and 9% in the Arab countries % CI, 6.4%–15.9%; p<0.001 and 95% CI, 5%–16.1%; p<0.001, respectively). For cannabis use, the prevalence rates in the Arab countries and Africa were relatively similar (9%; 95% CI, 2.8%–25.2%; p<0.001 and 6%; 95% CI, 2.6%–13.2%; p<0.001, respectively).
Main substance categories explored and utilized
The studies included in this meta-analysis demonstrate that researchers have investigated a wide variety of psychoactive substances. A frequency analysis of substance use, performed using NVIVO ver. 12 software, shows that tobacco was the most commonly used substance, followed by alcohol, stimulants, khat, and cannabis (Table 1).
Influence of the study duration on the prevalence of psychoactive substances
The number of studies has significantly increased over the years, focusing on the 5 substances examined in this study: tobacco, alcohol, khat, cannabis, and stimulants. The overall prevalence of these substances varied between the 2 periods (before and after 2019).
The prevalence of alcohol use significantly increased in a comparison of the 2 periods before and after 2019, from 13.3% to 17%, respectively (95% CI, 6.2%–26.1%; p<0.001 and 95% CI, 10.2%–27.0%, respectively; p<0.001).
The prevalence of cannabis use significantly decreased after 2019, from 10.9% to 6% r (95% CI, 3.3%–30.8%; p<0.001 and 95% CI, 1.9%–17.8%, respectively; p<0.001).
The prevalence of tobacco use significantly decreased after 2019, from 20.8% to 13.2% (95% CI, 14.9%–28.3%; p<0.001 and 95% CI, 9.7%–17.7%; p<0.001, respectively). Similarly, the prevalence of khat use also showed a significant decline, from 25.1% before 2019 to 8% afterwards (95% CI, 8.7%–54.0%; p<0.001 and 95% CI, 4%–15.3%; p<0.001, respectively). Additionally, the prevalence of stimulant use decreased notably, from 17.4% to 3% during the same periods (95% CI, 8.2%–33.1%; p<0.001 and 95% CI, 5.5%–15.4%; p<0.001, respectively). An asymmetric funnel plot suggested the presence of reporting bias and/or heterogeneity between studies.
This review provides a comprehensive overview of the prevalence of substance use among school-going youth in African and Arab countries, based on 37 studies published between 2013 and 2023. Earlier reviews often focused on specific countries [54] or specific substances [55]. In contrast, our study offers a broader regional perspective, including both Africa and the Arab countries. Key findings indicate substance use prevalence rates of 16% for tobacco, 15% for alcohol, 11.4% for stimulants, 10% for cannabis, and 10% for khat. These results add to the growing body of literature on youth substance use, underscoring regional differences and trends that warrant further investigation.
The prevalence of alcohol use was significantly higher in African countries (16.7%) than in the Arab region (7%). This discrepancy reflects cultural and regulatory differences between these regions, where alcohol consumption may be more restricted by religious and social norms in Arabic countries. Additionally, we observed a significant increase in alcohol use post-2019 (17% compared to 13.3% before 2019, p<0.001), a trend consistent with the Global Status Report on Alcohol and Health 2018, which documented rising alcohol consumption globally [56]. This increase may be attributed to evolving social norms, economic growth, and Western influences in parts of Africa. The social cognitive theory supports the role of social context in shaping these substance use patterns [57]. Regional variations within African countries further support the role of cultural and social factors in substance use. For instance, in Morocco, alcohol use was reported by 12.4% of boys and 7.2% of girls aged 15 to 17 [58], while in Tunisia, 8.0% of students reported having consumed alcohol at least once in their lifetime [59]. In contrast, Egypt exhibited a much lower prevalence of 2.9%. The variability in alcohol use across these countries underscores the importance of localized public health strategies that consider cultural, religious, and legal contexts [60]. A broader analysis of Sub-Saharan Africa estimated the prevalence of alcohol use at 11.3% [61]. However, our study observed a higher prevalence of 16.7% (95% CI, 10.6%–25.2%) for alcohol use in African countries, highlighting a notable increase compared to previous estimates. This suggests an upward shift in alcohol consumption trends in the region, which may reflect changing social, economic, and cultural dynamics impacting substance use.
Our study observed higher smoking rates among youth in Arab countries (18%) compared to those in Africa (14%). However, there was a significant decline in smoking prevalence over time, decreasing from 20.8% before 2019 to 13.2% after 2019 (p<0.001). This reduction may be attributed to effective tobacco control measures, especially in countries like Tunisia, where enhanced legislation and collaboration with the World Health Organization have bolstered anti-tobacco initiatives. This trend is consistent with global patterns, where increased awareness of the health risks associated with smoking and stricter regulations have led to lower smoking rates [62]. This observation is consistent with the health belief model, which suggests that increased perception of risk can motivate behavioral change [63].
Our study also highlighted a notable decline in stimulant use, from 17.4% before 2019 to 3% after 2019 (p<0.001). This significant reduction contrasts with global trends, where stimulant use has generally increased. The sharp decline observed in our sample may indicate the effectiveness of recent drug policies or targeted youth prevention programs, which could be explored further in future research. In Africa, the prevalence of cocaine use is estimated at 0.2% to 0.5%, and the number of amphetamine users ranges from 1.5 to 5.2 million individuals annually, suggesting a broader upward trend in stimulant use [64]. However, the lower prevalence observed in our study points to regional differences in substance availability and enforcement, as well as potential shifts in youth behavior, consistent with the theory of planned behavior, where behavior is shaped by societal norms and perceived control [65].
The prevalence of khat use in our study was 10%, which is lower than the rates reported in studies involving university students, where the prevalence was approximately 14.16% [59]. Khat use was notably high in countries such as Saudi Arabia (18.85%), Ethiopia (13.59%), and Yemen (13.04%) [66], where cultural practices and limited enforcement of prohibitions contribute to its continued use. The differences noted above may be explained by the fact that our meta-analysis included data from countries where khat use is illegal, including Saudi Arabia, Egypt, Morocco, Sudan, and Kuwait [67]. These findings underscore the complexity of addressing khat use, as legal restrictions alone are insufficient without strong enforcement and community engagement, particularly in areas where khat is culturally significant.
Regarding cannabis use, we observed a decline in prevalence in the African region, from 10% before 2019 to 6% after 2019. This finding aligns with previous research [68] and is consistent with decreased cannabis consumption trends in both African and Arab countries. This decline may be attributed to changes in the legal framework for cannabis cultivation in Lebanon and Morocco, the primary cultivators in North Africa. Additionally, a report [69] noted that while cannabis use among 15- to 16-year-olds often exceeds that of the general population aged 15 to 64, Africa is the exception, with similar prevalence rates of 7% in both age groups [68]. This finding is supported by the Public Health Model, which suggests that changes in the legal and social environment can influence health behaviors, including substance use. The model posits that modifying these external factors can lead to changes in individual behavior, including reductions in substance use [70].
The robustness of this review is underscored by the inclusion of a substantial number of studies (n=37) across 19 countries, and the focus on substances that constitute the most problematic used worldwide: alcohol, tobacco, khat, cannabis, and stimulants.
In this comprehensive systematic review and meta-analysis, which assessed substance use among school-going youth in African and Arabic countries, we observed significant prevalence rates for various substances: tobacco (16%), alcohol (15%), stimulants (11.4%), cannabis (10%), and khat (10%). Notably, alcohol use was higher in African countries (16.7%) than in Arab countries (7%), with a marked increase observed post-2019. Conversely, smoking prevalence was greater in Arab countries (18%) than in Africa (14%), though it has significantly declined over time. Similarly, stimulant use showed a substantial decrease from 17.4% before 2019 to 3% after 2019. The relatively lower prevalence of khat use (10%) compared to that among university students underscores regional variations and the influence of legal restrictions [71]. Cannabis use in Africa also decreased from 10% to 6% after 2019. These findings highlight the necessity for targeted educational interventions, policy development, and support programs that take into account regional and cultural factors.
A key limitation of this study is its reliance on self-reported data, which may introduce biases due to underreporting or overreporting, as well as social desirability biases that could influence the findings. To mitigate these issues, we included only studies that utilized validated instruments and met a minimum sample size threshold to enhance data reliability. Additionally, the cross-sectional nature of the studies prevents us from drawing causal conclusions, underscoring the need for future longitudinal research. To reduce publication bias, we conducted a comprehensive search across multiple databases, incorporating both grey literature and unpublished studies. Random-effects modeling was applied to address the significant heterogeneity among studies, as indicated by the I2 statistic. Future research should focus on exploring regional differences and assessing the effectiveness of interventions targeting substance use among youth.
The clinical implications of this study are significant, particularly in guiding early interventions and prevention strategies for substance use among adolescents. By identifying the prevalence and patterns of substance use in school-going populations across Africa and Arab countries, this research highlights critical areas for targeted interventions. Clinically, the findings underscore the need for healthcare professionals, educators, and policymakers to focus on early screening and intervention programs in schools to mitigate the long-term health impacts of substance use, such as mental health disorders, addiction, and related physical health complications. Furthermore, the study emphasizes the importance of culturally adapted prevention programs that consider regional differences in substance use trends. These findings can inform clinicians about the necessity of integrating mental health services with substance use prevention programs to address co-occurring issues like anxiety, depression, and self-harm, which are often linked with adolescent substance use.
Substance use among school-going adolescents continues to be a major public health concern in Africa and the Arab countries. The varying prevalence rates of tobacco, alcohol, cannabis, khat, and stimulant use underscore the necessity for interventions that are specifically designed to meet the unique challenges and resources of each country. It is critical to address socio-environmental factors and to promote preventive strategies through educational and mentorship programs to reduce substance use. Early intervention, especially targeting gateway substances such as tobacco and alcohol, is vital for preventing the progression to more harmful drugs. Collaborative, multi-sectoral efforts are essential to address this escalating problem and safeguard adolescent health.
• This research provides insights into the prevalence of commonly used substances in African and Arabic nations, including alcohol, tobacco, cannabis, khat, and stimulants.
• This study focused on the primary psychoactive substances within a specific age group in both Arabic and African countries. It is hoped that the data will guide policymakers and healthcare professionals in tailoring preventive actions for this particular population.
• This research examined how the location of a country and the time frame of the study influence the prevalence of substance use among the school-going population in 2 highly populated regions (African countries and Arab countries) by showing the decrease and increase rates over the years, with comparisons between countries.
Supplementary data are available at https://doi.org/10.24171/j.phrp.2024.0204.
Supplementary Material 1.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist.
j-phrp-2024-0204-Supplementary-Material.pdf
Table S1.
Search details and review forms.
j-phrp-2024-0204-Supplementary-Table-1.pdf
Table S2.
Quality appraisal studies included in the systematic review and meta-analysis according to Joanna Briggs Institute characteristics.
j-phrp-2024-0204-Supplementary-Table-2.pdf
Table S4.
The Joanna Briggs Institute criteria used for methodological quality assessment.
j-phrp-2024-0204-Supplementary-Table-4.pdf

Ethics Approval

Not applicable.

Conflicts of Interest

The authors have no conflicts of interest to declare.

Funding

None.

Availability of Data

The datasets used and/or analyzed during the current study are cited in this article.

Authors’ Contributions

Conceptualization: CEM; Data curation: CEM, MG; Investigation: CEM; Project administration: MC, AH; Supervision: MC, AH; Validation: CEM, MG; Visualization: CEM, MG; Writing–original draft: CEM, MG; Writing–review & editing: all authors. All authors read and approved the final manuscript.

Figure 1.
Flow diagram of the studies included in the systematic review and meta-analysis of substance use among school-going children in Africa and Arab countries.
j-phrp-2024-0204f1.jpg
Figure 2.
Prevalence of tobacco use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
j-phrp-2024-0204f2.jpg
Figure 3.
Prevalence of alcohol use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
j-phrp-2024-0204f3.jpg
Figure 4.
Prevalence of stimulant use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
j-phrp-2024-0204f4.jpg
Figure 5.
Prevalence of khat use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
j-phrp-2024-0204f5.jpg
Figure 6.
Prevalence of cannabis use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
j-phrp-2024-0204f6.jpg
Table 1.
Characteristics and outcomes of the included studies in the systematic review and meta-analysis
Study Year Country Continent/subregion Study design Main categories of substances analyzed Sample size Mean age (y)a) Predominant substances Prevalence of predominant substances (%)
Hirpa et al. [31] 2023 Ethiopia Eastern Africa Cross-sectional Alcohol, khat, tobacco, marijuana 3,347 16.5±1.4 Alcohol 41.8
Melkam et al. [32] 2023 Ethiopia Eastern Africa Cross-sectional Alcohol, khat, tobacco 406 17.51±1.42 Alcohol 49
Bio-Sya et al. [53] 2022 Benin Western Africa Cross-sectional Alcohol, stimulants, and tobacco 627 17±2 Alcohol 62.67
Mavura et al. [33] 2022 Tanzania Eastern Africa Cross-sectional Alcohol, tobacco, cocaine, heroin, and marijuana 3,224 10–19 Alcohol 8.2
Mehanovic et al. [37] 2022 Nigeria Western Africa Cross-sectional Tobacco, alcohol, and drug use 4,078 NA Alcohol 34
Metuge et al. [43] 2022 Cameroon Middle Africa Cross-sectional Tobacco, alcohol, tramadol, and cannabis 625 22.2±2.837 Tobacco 26.2
Mutiso et al. [34] 2022 Kenya Eastern Africa Cross-sectional Alcohol, cannabis, tobacco, sedatives, Khat/amphetamine 9742 21.4±2.4 Alcohol 17.7
Olashore et al. [41] 2022 Botswana Southern Africa Cross-sectional Alcohol, tobacco products, cannabis, inhalants, amphetamine 742 15.26±1.57 Alcohol 25.1
Baklouti et al. [18] 2021 Tunisia Northern Africa Cross-sectional Tobacco, alcohol, and illicit drug use 1210 14 Tobacco 13.9
Maalej et al. [19] 2021 Tunisia Northern Africa Cross-sectional Cigarettes 234 16.59±0.908 Tobacco 38.3
Seid et al. [35] 2021 Ethiopia Eastern Africa Cross-sectional Alcohol, tobacco, khat 383 18.1±1.077 Alcohol 16
Al-Gburi et al. [44][44] 2020 Iraq Asia/Arab country Cross-sectional Alcohol 810 17.15±1.20 Alcohol 9.50
Amara et al. [20] 2020 Tunisia Northern Africa Cross-sectional Tobacco, alcohol, illicit drugs 1,195 13–16 Tobacco 16.70
Hamdan-Mansour et al. [45] 2020 Jordan Asia Cross-sectional Tobacco, stimulants 1,497 16–17 Tobacco 18.3
Mohamed et al. [21] 2020 Sudan Northern Africa Cross-sectional Tobacco 1,229 15–19 Tobacco 31
Obadeji et al. [38] 2020 Nigeria Western Africa Cross-sectional Alcohol, tobacco, tramadol, cannabis, codeine,sedatives 682 16 Alcohol 8.9
Hamdi et al. [22] 2016 Egypt Northern Africa Cross-sectional Nicotine, benzodiazepines alcohol, and organic solvents 10.648 13–18 Nicotine 8.1
Ben Ayed et al. [23] 2020 Tunisia Northern Africa Cross-sectional Tobacco 1,210 15.6±4.2 Tobacco 16.7
Ben El Jilali et al. [24] 2020 Morocco Northern Africa Cross-sectional Alcohol 1,236 16.9±2.2 Alcohol 9
Charfi et al. [25] 2020 Tunisia Northern Africa Cross-sectional Alcohol 315 NA Alcohol 19.7
Othman et al. [26] 2019 Sudan Northern Africa Cross-sectional Shisha tobacco 3,387 14–17 Tobacco 16.8
Badr et al. [46] 2018 Kuwait Asia/Arab country Cross-sectional Smoking and drug use 1,310 14.5±0.03 Tobacco and drugs 26.6
Damiri et al. [47] 2018 Palestine Asia Cross-sectional Tobacco, alcohol, and illicit drugs 831 15–16 Tobacco 40.6
El Kazdouh et al. [27] 2018 Morocco Northern Africa Cross-sectional Tobacco, alcohol, and drug use 764 NA Tobacco 16.2
Idowu et al. [39] 2018 Nigeria Western Africa Cross-sectional Cigarette smoking, cocaine, tramadol, heroin, cannabis, alcohol 249 16.3±2 Tramadol 39
Riva et al. [42] 2018 Botswana Southern Africa Cross-sectional Alcohol, illicit drugs, marijuana 1,936 NA Alcohol 42.1
Al-Alawi AS et al. [28] 2018 Sudan Northern Africa Cross-sectional Cigarettes, herbal cigarettes, shisha, and tombak 1,229 14.5 Cigarettes 13
Zammit et al. [29] 2021 Tunisia Northern Africa Cross-sectional Illicit substances, tobacco 4,272 13.3±1.2 Tobacco 12.9
Babatunde et al. [40] 2018 Nigeria Western Africa Cross-sectional Cigarettes 2,000 NA Tobacco 13.6
Chivandire et al. [36] 2016 Zimbabwe Eastern Africa Cross-sectional Alcohol, smoking, cigarettes, cannabis 311 16.8 Cannabis 8
Zarrouq et al. [30] 2016 Morocco Northern Africa Cross-sectional Cannabis, alcohol, inhalants, psychotropics, cocaine, heroin, amphetamine 3,020 16±2 Tobacco 16.1
McKelvey et al. [48] 2015 Jordan Asia Cross-sectional Tobacco 1,454 12.6 Cigarette 29.8
Birhanu et al. [11] 2014 Ethiopia Eastern Africa Cross-sectional Alcohol, cigarettes, and khat 651 17.25±1.24 Alcohol 40.9
Crookes and Wolff [14] 2014 United Arab Emirates Asia/Arabian Peninsula Cross-sectional Tobacco products 394 16.9 Tobacco 23.4
Alsanosy et al. [15] 2013 Kingdom of Saudi Arabia Asia/Arabian Peninsula Cross-sectional Khat 3,923 15±2.01 Khat 20.5
Gaffar et al. [16] 2013 Kingdom of Saudi Arabia Asia/Arabian Peninsula Cross-sectional Tobacco 3,923 12–21 Tobacco 10.7
Raffee et al. [17] 2021 Jordan Asia Cross-sectional Stimulants 414 NA Stimulants 16.9

NA, not available; SD, standard deviation.

a)Data are presented as mean±SD or ranges.

  • 1. United Nations Population Fund (US). SWP report 2023: rights and choices are key [Internet]. United Nations Population Fund; 2023 [cited 2024 Oct 14]. Available from: https://www.unfpa.org/swp2023/rights-choices.
  • 2. World Health Organization Eastern Mediterranean Region (EG). Adolescent health in the Middle East and North Africa region: leaving no one behind [Internet]. World Health Organization Eastern Mediterranean Region; 2023 [cited 2024 Oct 14]. Available from: http://www.emro.who.int/emhj-volume-29-2023/volume-29-issue-2/adolescent-health-in-the-middle-east-and-north-africa-region-leaving-no-one-behind.html.
  • 3. GBD 2015 Eastern Mediterranean Region Adolescent Health Collaborators. Adolescent health in the Eastern Mediterranean region: findings from the global burden of disease 2015 study. Int J Public Health 2018;63(Suppl 1). 79−96. ArticlePubMed
  • 4. Onaolapo OJ, Olofinnade AT, Ojo FO, et al. Substance use and substance use disorders in Africa: an epidemiological approach to the review of existing literature. World J Psychiatry 2022;12:1268−86. ArticlePubMedPMC
  • 5. World Health Organization Eastern Mediterranean Region (EG). Substance use atlas 2021 [Internet]. World Health Organization Eastern Mediterranean Region; 2019 [cited 2024 Jul 19]. Available from: https://iris.who.int/bitstream/handle/10665/367345/9789292740764-eng.pdf?sequence=1&isAllowed=y.
  • 6. World Health Organization Eastern Mediterranean Region (EG). Technical paper: substance use and dependence [Internet]. World Health Organization Eastern Mediterranean Region; 2005 [cited 2024 Jul 19]. Available from: https://iris.who.int/bitstream/handle/10665/122341/EM_RC52_5_en.pdf?sequence=1&isAllowed=y.
  • 7. Mann K. Neuroscience of psychoactive substance use and dependence. Addiction 2004;99:1361−2. Article
  • 8. Das JK, Salam RA, Arshad A, et al. Interventions for adolescent substance abuse: an overview of systematic reviews. J Adolesc Health 2016;59(4S). S61−75. ArticlePubMedPMC
  • 9. World Health Organization Africa Region (CG). Substance abuse [Internet]. World Health Organization Africa Region; 2023 [cited 2023 Dec 14]. Available from: https://www.afro.who.int/health-topics/substance-abuse.
  • 10. UNICEF Middle East and North Africa (JO). Education [Internet]. UNICEF Middle East and North Africa; 2015 [cited 2023 Dec 14]. Available from: https://www.unicef.org/mena/education.
  • 11. Birhanu AM, Bisetegn TA, Woldeyohannes SM. High prevalence of substance use and associated factors among high school adolescents in Woreta Town, Northwest Ethiopia: multi-domain factor analysis. BMC Public Health 2014;14:1186ArticlePubMedPMCPDF
  • 12. Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 2009;339:b2535ArticlePubMedPMC
  • 13. Santos WM, Secoli SR, Puschel VA. The Joanna Briggs Institute approach for systematic reviews. Rev Lat Am Enfermagem 2018;26:e3074. ArticlePubMedPMC
  • 14. Crookes A, Wolff K. Prevalence of the tobacco product dokha among high school students in Dubai. Subst Use Misuse 2014;49:1349−52. ArticlePubMed
  • 15. Alsanosy RM, Mahfouz MS, Gaffar AM. Khat chewing habit among school students of Jazan region, Saudi Arabia. PLoS One 2013;8:e65504. ArticlePubMedPMC
  • 16. Gaffar AM, Alsanosy RM, Mahfouz MS. Sociodemographic factors associated with tobacco smoking among intermediate and secondary school students in Jazan region of Saudi Arabia. Subst Abus 2013;34:381−8. ArticlePubMedPMCPDF
  • 17. Raffee LA, Al-Qudah MA, Hayajneh WA, et al. Prevalence estimates of drug addiction among high-school students and its association with violence, and school behaviors: a cross-sectional study from Jordan. Ann Med Surg (Lond) 2021;67:102490ArticlePubMedPMC
  • 18. Baklouti M, Ben Ayed H, Maamri H, et al. Magnitude, risk factors of addictive behaviors among school students in Southern Tunisia. Eur J Public Health 2021;31(Supplement_3). ckab165.658ArticlePDF
  • 19. Maalej R, Zgueb Y, Aissa A, et al. Electronic cigarettes use among teenagers in Tunisia. Eur Psychiatry 2021;64(S1). S822−3. ArticlePMC
  • 20. Amara A, Ghammem R, Sahli J, et al. Addictions and mental health disorders among adolescents: a cross-sectional study; Tunisia 2020. Eur J Public Health 2020;30(Supplement_5). ckaa166.1068ArticlePDF
  • 21. Mohamed DB, Hoving C, De Vries H. Use of cigarettes and other tobacco products among primary and secondary school students in Khartoum State, Sudan. Occup Dis Environ Med 2020;8:203−15. ArticlePDF
  • 22. Hamdi E, Sabry N, Sedrak A, et al. Sociodemographic indicators for substance use and abuse in Egypt. J Addict Prev 2016;4:8.
  • 23. Ben Ayed H, Yaich S, Ben Hmida M, et al. Prevalence and factors associated with smoking among Tunisian secondary school-adolescents. Int J Adolesc Med Health 2020;33:379−87. ArticlePubMed
  • 24. Ben El Jilali L, Benazzouz B, El Hessni A, et al. Prevalence of alcohol consumption and alcohol use disorders among middle and high school students in the province of Khemisset, Morocco: a cross-sectional study. Int J Adolesc Youth 2020;25:638−48. Article
  • 25. Charfi N, Turki M, Smaoui N, et al. Alcohol use and associated environmental factors among middle and high school students in Sfax (Tunisia). Int J Ment Health Addict 2020;18:658−73. ArticlePDF
  • 26. Othman M, Aghamohammadi N, Nik Farid ND. Determinants of shisha use among secondary school students in Sudan. BMC Public Health 2019;19:1390ArticlePDF
  • 27. El Kazdouh H, El-Ammari A, Bouftini S, et al. Adolescents, parents and teachers’ perceptions of risk and protective factors of substance use in Moroccan adolescents: a qualitative study. Subst Abuse Treat Prev Policy 2018;13:31ArticlePubMed
  • 28. Al-Alawi AS, Shaikh J. Prevalence of substance abuse among the school students in Al-Dhahirah governorate, Sultanate of Oman. Madridge J Nurs 2018;3:1000121.
  • 29. Zammit N, Bennasrallah C, Ben Fredj S, et al. Incidence and predictor of tobacco experimentation among high-school adolescents of Sousse, Tunisia. Eur J Public Health 2021;31(Supplement_3). ckab165.428ArticlePDF
  • 30. Zarrouq B, Bendaou B, El Asri A, et al. Psychoactive substances use and associated factors among middle and high school students in the North Center of Morocco: a cross-sectional questionnaire survey. BMC Public Health 2016;16:468ArticlePubMedPMCPDF
  • 31. Hirpa S, Fogarty AW, Addissie A, et al. Prevalence and risk factors for tobacco, khat, and alcohol consumption among high school students in Ethiopia. BMC Public Health 2023;23:226ArticlePubMedPMCPDF
  • 32. Melkam M, Segon T, Nakie G, et al. Substance use and associated factors among high school students in Northwest Ethiopia. Pan Afr Med J 2023;44:162Article
  • 33. Mavura RA, Nyaki AY, Leyaro BJ, et al. Prevalence of substance use and associated factors among secondary school adolescents in Kilimanjaro region, northern Tanzania. PLoS One 2022;17:e0274102. ArticlePubMedPMC
  • 34. Mutiso VN, Ndetei DM, Muia EN, et al. The prevalance of binge eating disorder and associated psychiatric and substance use disorders in a student population in Kenya: towards a public health approach. BMC Psychiatry 2022;22:122ArticlePubMedPMCPDF
  • 35. Seid L, Gintamo B, Mekuria ZN, et al. Substance use and associated factors among preparatory school students in Kolfe-Keranyo sub-city of Addis Ababa, Ethiopia. Environ Health Prev Med 2021;26:110ArticlePubMedPMCPDF
  • 36. Chivandire CT, January J. Correlates of cannabis use among high school students in Shamva District, Zimbabwe: a descriptive cross-sectional study. Malawi Med J 2016;28:53−6. ArticlePubMedPMC
  • 37. Mehanovic E, Virk HK, Ibanga A, et al. Correlates of alcohol experimentation and drunkenness episodes among secondary-school students in Nigeria. Subst Abus 2022;43:371−9. ArticlePubMedPDF
  • 38. Obadeji A, Kumolalo BF, Oluwole LO, et al. Substance use among adolescent high school students in Nigeria and its relationship with psychosocial factors. J Res Health Sci 2020;20:e00480. ArticlePubMedPMCPDF
  • 39. Idowu A, Aremu AO, Olumide A, et al. Substance abuse among students in selected secondary schools of an urban community of Oyo-state, South West Nigeria: implication for policy action. Afr Health Sci 2018;18:776−85. ArticlePubMedPMC
  • 40. Babatunde LS, Babatunde OT, Oladeji SM, et al. Prevalence and determinants of susceptibility to cigarette smoking among non-smoking senior secondary school students in Ilorin, North Central Nigeria. Int J Adolesc Med Health 2018;30:20160099ArticlePubMed
  • 41. Olashore AA, Paruk S, Maphorisa T, et al. Pattern of substance use and substance use disorder in adolescent learners at public secondary schools in Gaborone, Botswana. PLoS One 2022;17:e0268961. ArticlePubMedPMC
  • 42. Riva K, Allen-Taylor L, Schupmann WD, et al. Prevalence and predictors of alcohol and drug use among secondary school students in Botswana: a cross-sectional study. BMC Public Health 2018;18:1396ArticlePubMedPMCPDF
  • 43. Metuge CE, Dzudie A, Ebasone PV, et al. Prevalence and factors associated with substance use among students in tertiary institutions in Buea, Cameroon. Pan Afr Med J 2022;41:103ArticlePubMedPMC
  • 44. Al-Gburi K, Al-Murshedi R, Abd Alridha AM, et al. A cross-sectional study of epidemiological factors associated with drug use among secondary school students. J Subst Use 2020;25:475−81. Article
  • 45. Hamdan-Mansour AM, Al-Sagarat AY, Shehadeh JH, et al. Determinants of substance use among high school students in Jordan. Curr Drug Res Rev 2020;12:168−74. ArticlePubMedPDF
  • 46. Badr HE, Francis K. Psychosocial perspective and suicidal behaviors correlated with adolescent male smoking and illicit drug use. Asian J Psychiatr 2018;37:51−7. ArticlePubMed
  • 47. Damiri BR, Salahat IA, Aghbar MH. Pattern of substance use among schoolchildren in Palestine: a cross-sectional study. Egypt J Forensic Sci 2018;8:59ArticlePDF
  • 48. McKelvey K, Attonito J, Madhivanan P, et al. Determinants of cigarette smoking initiation in Jordanian schoolchildren: longitudinal analysis. Nicotine Tob Res 2015;17:552−8. ArticlePubMedPMC
  • 49. Higgins J, Thomas J, Chandler J, et al. Cochrane handbook for systematic reviews of interventions version 6.5 [Internet]. Cochrane Training; 2024 [cited 2024 Oct 9]. Available from: https://training.cochrane.org/handbook/current.
  • 50. Borenstein M, Hedges LV, Higgins JP, et al. Introduction to meta‐analysis [Internet]. Wiley; 2009 [cited 2023 Dec 14]. Available from: https://onlinelibrary.wiley.com/doi/book/10.1002/9780470743386.
  • 51. Borenstein M, Higgins JP, Hedges LV, et al. Basics of meta-analysis: I2 is not an absolute measure of heterogeneity. Res Synth Methods 2017;8:5−18. ArticlePubMed
  • 52. von Hippel PT. The heterogeneity statistic I2 can be biased in small meta-analyses. BMC Med Res Methodol 2015;15:35ArticlePubMedPMC
  • 53. Bio-Sya A, Damien GB, Kpatchavi AC, et al. Prevalence, associated factors and level of dependence of substance use among urban secondary school students, Benin. Basic Clin Pharmacol Toxicol 2022;131:205−13. ArticlePubMedPDF
  • 54. Jaguga F, Kiburi SK, Temet E, et al. A systematic review of substance use and substance use disorder research in Kenya. PLoS One 2022;17:e0269340. ArticlePubMedPMC
  • 55. Belete H, Yimer TM, Dawson D, et al. Alcohol use and alcohol use disorders in sub-Saharan Africa: a systematic review and meta-analysis. Addiction 2024;119:1527−40. ArticlePubMed
  • 56. World Health Organization (WHO) (CH). Global status report on alcohol and health 2018. WHO; 2018.
  • 57. Bandura A. Social foundations of thought and action: a social cognitive theory. Prentice-Hall; 1986.
  • 58. El Omari F, Salomonsen-Sautel S, Hoffenberg A, et al. Prevalence of substance use among Moroccan adolescents and association with academic achievement. World J Psychiatry 2015;5:425−31. ArticlePubMedPMC
  • 59. Pompidou Group, Council of Europe (FR). Enquête MedSPAD III Tunisie 2021 [MedSPAD Survey III] [Internet]. Pompidou Group, Council of Europe; 2023 [cited 2023 Nov 8]. Available from: https://rm.coe.int/rapport-medspad-iii-05-01-2023-tunisie/1680a9a100. French.
  • 60. Pompidou Group, Council of Europe (FR). Final Report MedSPAD 2020 in Egypt [Internet]. Pompidou Group, Council of Europe; 2020 [cited 2023 Nov 8]. Available from: https://rm.coe.int/medspad-egypt-2020-report/1680a7b763.
  • 61. Kugbey N. Prevalence and correlates of substance use among school-going adolescents (11-18years) in eight Sub-Saharan Africa countries. Subst Abuse Treat Prev Policy 2023;18:44ArticlePubMedPMCPDF
  • 62. Benedetti E, Cotichini R, Molinaro S. Adolescent substance use and risk behaviours in the Mediterranean region: fourth MedSPAD regional report. Council of Europe; 2022.
  • 63. Alyafei A, Easton-Carr R. The health belief model of behavior change. StatPearls Publishing; 2024.
  • 64. United Nations Office on Drugs and Crime (UNODC) (AT). World drug report 2010 [Internet]. UNODC; 2010 [cited 2023 Dec 14]. Available from: https://www.unodc.org/documents/wdr/WDR_2010/World_Drug_Report_2010_lo-res.pdf.
  • 65. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process 1991;50:179−211. Article
  • 66. Ayano G, Yohannis K, Abraha M. Epidemiology of khat (Catha edulis) consumption among university students: a meta-analysis. BMC Public Health 2019;19:150ArticlePubMedPMCPDF
  • 67. Desai C. Meyler’s side effects of drugs: the international encyclopedia of adverse drug reactions and interactions. Indian J Pharmacol 2016;48:224ArticlePMC
  • 68. United Nations Office on Drugs and Crime (UNODC) (AT). World drug report 2023: special points of interest [Internet]. UNODC; 2023 [cited 2023 Dec 14]. Available from: https://www.unodc.org/res/WDR-2023/Special_Points_WDR2023_web_DP.pdf.
  • 69. European Monitoring Centre for Drugs and Drug Addiction. Overview of drug markets in the European Neighbourhood Policy-South and Policy-East countries. Regional reports [Internet]. Publications Office of the European Union; 2022 [cited 2023 Nov 7]. Available from: https://www.drugsandalcohol.ie/37507/.
  • 70. Institute of Medicine (US) Committee on Assuring the Health of the Public in the 21st Century (US). The future of the public’s health in the 21st century. National Academies Press (US); 2002.
  • 71. Nutt D, King LA, Saulsbury W, et al. Development of a rational scale to assess the harm of drugs of potential misuse. Lancet 2007;369:1047−53. Article

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      The prevalence of tobacco, alcohol, stimulant, khat, and cannabis use among school-going students in African and Arab countries: a systematic review and meta-analysis
      Image Image Image Image Image Image
      Figure 1. Flow diagram of the studies included in the systematic review and meta-analysis of substance use among school-going children in Africa and Arab countries.
      Figure 2. Prevalence of tobacco use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
      Figure 3. Prevalence of alcohol use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
      Figure 4. Prevalence of stimulant use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
      Figure 5. Prevalence of khat use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
      Figure 6. Prevalence of cannabis use among school-children in African and Arab countries 2013–2023 (%). CI, confidence interval.
      The prevalence of tobacco, alcohol, stimulant, khat, and cannabis use among school-going students in African and Arab countries: a systematic review and meta-analysis
      Study Year Country Continent/subregion Study design Main categories of substances analyzed Sample size Mean age (y)a) Predominant substances Prevalence of predominant substances (%)
      Hirpa et al. [31] 2023 Ethiopia Eastern Africa Cross-sectional Alcohol, khat, tobacco, marijuana 3,347 16.5±1.4 Alcohol 41.8
      Melkam et al. [32] 2023 Ethiopia Eastern Africa Cross-sectional Alcohol, khat, tobacco 406 17.51±1.42 Alcohol 49
      Bio-Sya et al. [53] 2022 Benin Western Africa Cross-sectional Alcohol, stimulants, and tobacco 627 17±2 Alcohol 62.67
      Mavura et al. [33] 2022 Tanzania Eastern Africa Cross-sectional Alcohol, tobacco, cocaine, heroin, and marijuana 3,224 10–19 Alcohol 8.2
      Mehanovic et al. [37] 2022 Nigeria Western Africa Cross-sectional Tobacco, alcohol, and drug use 4,078 NA Alcohol 34
      Metuge et al. [43] 2022 Cameroon Middle Africa Cross-sectional Tobacco, alcohol, tramadol, and cannabis 625 22.2±2.837 Tobacco 26.2
      Mutiso et al. [34] 2022 Kenya Eastern Africa Cross-sectional Alcohol, cannabis, tobacco, sedatives, Khat/amphetamine 9742 21.4±2.4 Alcohol 17.7
      Olashore et al. [41] 2022 Botswana Southern Africa Cross-sectional Alcohol, tobacco products, cannabis, inhalants, amphetamine 742 15.26±1.57 Alcohol 25.1
      Baklouti et al. [18] 2021 Tunisia Northern Africa Cross-sectional Tobacco, alcohol, and illicit drug use 1210 14 Tobacco 13.9
      Maalej et al. [19] 2021 Tunisia Northern Africa Cross-sectional Cigarettes 234 16.59±0.908 Tobacco 38.3
      Seid et al. [35] 2021 Ethiopia Eastern Africa Cross-sectional Alcohol, tobacco, khat 383 18.1±1.077 Alcohol 16
      Al-Gburi et al. [44][44] 2020 Iraq Asia/Arab country Cross-sectional Alcohol 810 17.15±1.20 Alcohol 9.50
      Amara et al. [20] 2020 Tunisia Northern Africa Cross-sectional Tobacco, alcohol, illicit drugs 1,195 13–16 Tobacco 16.70
      Hamdan-Mansour et al. [45] 2020 Jordan Asia Cross-sectional Tobacco, stimulants 1,497 16–17 Tobacco 18.3
      Mohamed et al. [21] 2020 Sudan Northern Africa Cross-sectional Tobacco 1,229 15–19 Tobacco 31
      Obadeji et al. [38] 2020 Nigeria Western Africa Cross-sectional Alcohol, tobacco, tramadol, cannabis, codeine,sedatives 682 16 Alcohol 8.9
      Hamdi et al. [22] 2016 Egypt Northern Africa Cross-sectional Nicotine, benzodiazepines alcohol, and organic solvents 10.648 13–18 Nicotine 8.1
      Ben Ayed et al. [23] 2020 Tunisia Northern Africa Cross-sectional Tobacco 1,210 15.6±4.2 Tobacco 16.7
      Ben El Jilali et al. [24] 2020 Morocco Northern Africa Cross-sectional Alcohol 1,236 16.9±2.2 Alcohol 9
      Charfi et al. [25] 2020 Tunisia Northern Africa Cross-sectional Alcohol 315 NA Alcohol 19.7
      Othman et al. [26] 2019 Sudan Northern Africa Cross-sectional Shisha tobacco 3,387 14–17 Tobacco 16.8
      Badr et al. [46] 2018 Kuwait Asia/Arab country Cross-sectional Smoking and drug use 1,310 14.5±0.03 Tobacco and drugs 26.6
      Damiri et al. [47] 2018 Palestine Asia Cross-sectional Tobacco, alcohol, and illicit drugs 831 15–16 Tobacco 40.6
      El Kazdouh et al. [27] 2018 Morocco Northern Africa Cross-sectional Tobacco, alcohol, and drug use 764 NA Tobacco 16.2
      Idowu et al. [39] 2018 Nigeria Western Africa Cross-sectional Cigarette smoking, cocaine, tramadol, heroin, cannabis, alcohol 249 16.3±2 Tramadol 39
      Riva et al. [42] 2018 Botswana Southern Africa Cross-sectional Alcohol, illicit drugs, marijuana 1,936 NA Alcohol 42.1
      Al-Alawi AS et al. [28] 2018 Sudan Northern Africa Cross-sectional Cigarettes, herbal cigarettes, shisha, and tombak 1,229 14.5 Cigarettes 13
      Zammit et al. [29] 2021 Tunisia Northern Africa Cross-sectional Illicit substances, tobacco 4,272 13.3±1.2 Tobacco 12.9
      Babatunde et al. [40] 2018 Nigeria Western Africa Cross-sectional Cigarettes 2,000 NA Tobacco 13.6
      Chivandire et al. [36] 2016 Zimbabwe Eastern Africa Cross-sectional Alcohol, smoking, cigarettes, cannabis 311 16.8 Cannabis 8
      Zarrouq et al. [30] 2016 Morocco Northern Africa Cross-sectional Cannabis, alcohol, inhalants, psychotropics, cocaine, heroin, amphetamine 3,020 16±2 Tobacco 16.1
      McKelvey et al. [48] 2015 Jordan Asia Cross-sectional Tobacco 1,454 12.6 Cigarette 29.8
      Birhanu et al. [11] 2014 Ethiopia Eastern Africa Cross-sectional Alcohol, cigarettes, and khat 651 17.25±1.24 Alcohol 40.9
      Crookes and Wolff [14] 2014 United Arab Emirates Asia/Arabian Peninsula Cross-sectional Tobacco products 394 16.9 Tobacco 23.4
      Alsanosy et al. [15] 2013 Kingdom of Saudi Arabia Asia/Arabian Peninsula Cross-sectional Khat 3,923 15±2.01 Khat 20.5
      Gaffar et al. [16] 2013 Kingdom of Saudi Arabia Asia/Arabian Peninsula Cross-sectional Tobacco 3,923 12–21 Tobacco 10.7
      Raffee et al. [17] 2021 Jordan Asia Cross-sectional Stimulants 414 NA Stimulants 16.9
      Table 1. Characteristics and outcomes of the included studies in the systematic review and meta-analysis

      NA, not available; SD, standard deviation.

      Data are presented as mean±SD or ranges.


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