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Review

Alcohol and substance use prevention in Africa: systematic scoping review

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Pages 335-351 | Received 14 Aug 2020, Accepted 07 Jun 2021, Published online: 22 Jun 2021

ABSTRACT

Background

Alcohol and substance use has been a long-standing public health challenge across the globe, including in Africa. Research evidence attests that there is no singular approach to the prevention of this problem. This study used a scoping review to systematically appraise existing research evidence on the prevention of alcohol and substance use in Africa.

Methodology

A systematic search for literature on alcohol and substance use prevention between 2008 and 2018 in African countries was done in PubMed, EBSCOhost, and Web of Science databases. The study employed Arksey and O’Malley scoping review framework. Search terms included those relevant to the prevention of alcohol and substance use. Abstracted data were synthesized, thematically analyzed, and presented in a narrative format.

Results

A total of 34 peer-reviewed studies were selected for the final review in the current study. Alcohol is the predominantly used substance in Africa, among many other substances. A wide spectrum of factor risk and protective factors were reported. Prevention interventions were categorized as individual, family, school, workplace, environmental, media, as well as community-based prevention interventions.

Conclusions

While a variety of targeted prevention interventions have been implemented in the African continent, their effectiveness remains to be further elucidated, explored, and tested.

Introduction

Alcohol and substance use has been a long-standing public health challenge across the globe, including in Africa (Mbwambo et al., Citation2012). The detrimental use of alcohol and other substances has been reported to cause devastating consequences on individuals, families, and societies (Medina-Mora, Citation2005). These include diseases, a psychological, social, and economic burden in societies, and many other physical harms like road traffic accidents (Hall et al., Citation2016). In 2008, the World Health Organization estimated that alcohol, tobacco, and drug use contributed to 12.4% of deaths globally in 2000 (WHO, Citation2018). Furthermore, 2002–2030 projections by the Global Burden of Disease Project estimate that five of the six fastest-growing causes of global mortality are related to substance use (WHO, Citation2018). In light of this, the protection of the health of populations by preventing the harmful use of alcohol and other substances, and its effects remains a public health priority (Degenhardt et al., Citation2016a; Newton et al., Citation2017; WHO, Citation2013). WHO has consequently urged member states to interrupt the growing destructive trend, and reduce its related ills through prioritizing alcohol and substance use prevention measures and programs (Renstrom et al., Citation2017).

This call by WHO necessitates that effective substance use prevention research be conducted (Newton et al., Citation2017). As global epidemiological transitions from diseases of poverty to non-communicable diseases progress, substantial swing in the burden of disease and health risks among adolescents and young adults are expected to mirror the significant role played by substance use (Degenhardt et al., Citation2016a). To interrupt this trend, and reduce the associated harms, effective substance use prevention research is paramount (Newton et al., Citation2017). Currently, there is a paucity of information in epidemiological data about the extent of drug use prevention worldwide and particularly in Africa, which has been reputed to hinder effective global policy responses (Degenhardt et al., Citation2016a; WHO, Citation2018). To date, limited studies have been published on alcohol and substance use prevention. Furthermore, alcohol and substance use prevention research has not yet been extensively reviewed in Africa. Therefore, available information and existing research gaps in the selected studies are discussed and summarized in this review. The aim of the current scoping review was to systematically appraise existing research evidence on the prevention of drug and substance use in Africa. The specific objectives were to:

  • Identify drugs and substances used across Africa

  • Identify risk and protective factors that contribute to alcohol and substance use as a public health problem in Africa

  • Classify prevention strategies used in preventing alcohol and substance use in Africa

Materials and methods

Study design

We conducted a scoping review to appraise the evidence that exists on drug and substance abuse in Africa. Scoping review is defined as “a form of knowledge synthesis that addresses an exploratory research question aimed at mapping key concepts, types of evidence, and gaps in research related to a defined area or field by systematically searching, selecting, and synthesizing existing knowledge” (Colquhoun et al., Citation2014). Arksey and O’Malley’s scoping review framework guided the review (Arksey & O’Malley, Citation2005), and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were used (Moher et al., Citation2015). This methodology was chosen for its aptness in achieving the objectives of the study, not only in mapping the evidence on what is known about the prevention of drug and substance abuse in Africa but also synthesizing available evidence.

Search strategy

Selection and categorization of articles admitted into the study were based on the following criteria:

  • Studies that focused specifically on the prevention of drug and substance use in Africa.

  • Studies that are published between 2008 and 2018.

  • The studies had to be in English.

With clarified criteria that would guide admission of the desired studies, we then searched databases for works that evidenced drug and substance use in Africa. Databases searched included Ebscohost (MEDLINE, PsycINFO PsycARTICLES, and Academic Search Complete CINAHL with Full Text), PubMed, and Web of Science. The search terms used are shown in .

Table 1. Search strategy key terms.

Screening of candidate papers at the title stage that was done by all reviewers (LMM, RT, MSM, JTK, LG, ET & PM). The papers were then imported into Mendeley reference management software, and at this juncture, duplicates were removed. A sample of 15 academic citations was employed to pilot the abstract screening tool to observe the reviewer interrater agreement. A kappa interrater agreement calculation was used to indicate the agreement rate. After determining the agreement levels, all reviewers screened the abstracts eligibility based on criteria earlier agreed on.

Appraising the quality of evidence

According to the Cochrane Collaboration, at some stage in the process of evidence synthesis, a quality filter needs to be applied, and flawed studies rejected (Higgins et al., Citation2011). Although the Arksey and O’Malley, (Citation2005) systematic review framework followed in this study supports this principle, the purpose of study appraisal is not to reject studies, but to give a more vibrant picture of the extent and range of included studies. This is because this scoping review sought to explore the highly diverse subject matter of prevention of drug and substance use. Therefore, the quality of the studies was determined through study appraisal using the mixed-method appraisal tool (MMAT) – Version 2018 (Nha Hong et al., Citation2018). An overall quality percentage score for the included studies was calculated, and scores interpreted as low quality (≤50%), average quality (51–75%), and high-quality (76–100%).

Extracting and reporting the data

Comprehensive and uniform data mining forms were employed for the sieving and categorization of included study components of interest. Admitted literature was scrutinized for their focus on the prevention of drug and substance use in Africa. These were appropriately noted and revised and categorized across all studies.

This study applied the adapted version of PRISMA (Moher et al., Citation2015) for results reporting. The use of a modified version as the best strategy for reporting results from scoping review is a recommendation by Halas et al., (Citation2015). The review, therefore, used the PRISMA checklist that was adapted to include only the constituents that resonate with the underpinnings of scoping review methodology while eliminating features that are not, like the ones that relate to bias.

Screening results

As shown in , a total of 32,643 articles were identified from searched databases. An additional two were mined from gray literature repositories identified through snowballing. We screened 38 articles having excluded a total of 32,605 up to full article screening stage for the reasons shown in the PRISMA diagram below (). Thirty-four articles were ultimately admitted for thematic analysis in this study.

Figure 1. PRISMA Diagram.

Figure 1. PRISMA Diagram.

Results

We present our findings on the prevention of drug and substance use in Africa. A total of 34 peer-reviewed studies were included in the final review following a literature search on 3 different search engines (PubMed, Web of Science, and Scopus) using carefully selected keywords and appropriate Boolean operators. Of the thirty-four articles reviewed papers, eleven were from Southern Africa six were from North Africa, two from West Africa, nine from East Africa. Six papers were from several African countries, while there were no articles from Central Africa. The results are organized into four main sections: major characteristics of the study population, types of substances used, risk and protective factors, and prevention interventions in the studies.

Characteristics of the study population

Appendix A shows the major characteristics of the study population by gender, age, level of education, and the types of substances used. With regard to gender, the findings from the studies show that the study population comprised both males and females (Agaku et al., Citation2015; Birhanu et al., Citation2014; Cubbins et al., Citation2012; Duresso et al., Citation2018; Embleton et al., Citation2013; Glozah et al., Citation2015; Koopman et al., Citation2008; Meade et al., Citation2015; Medley et al., Citation2014; Onya et al., Citation2012; Papas et al., Citation2012; Peltzer & Pengpid, Citation2012; Scheibe et al., Citation2016; Sreeramareddy et al., Citation2014; Stengel et al., Citation2018; Takahashi et al., Citation2018), with only a few focusing on either males (Ghaddar & Ghaly, Citation2016; Sfendla et al., Citation2018) or females (Ghebremichael et al., Citation2009; Watt et al., Citation2016; Wechsberg et al., Citation2008). There is an age variation among the study populations across all the studies with an age range of 10–65 years. There is also diversity in the type of participants who comprised the study population. Some studies focused on self-injecting drug users (Ghaddar & Ghaly, Citation2016; Stengel et al., Citation2018), adolescents (Agaku et al., Citation2015; Birhanu et al., Citation2014; Mushanyu et al., Citation2017; Onya et al., Citation2012), vulnerable children (Beard et al., Citation2010; Embleton et al., Citation2013), adults with substance use disorders (Crunelle et al., Citation2018) undergraduate and postgraduate students (Duresso et al., Citation2018; Glozah et al., Citation2015) outpatients (Sfendla et al., Citation2018) and HIV positive patients (Medley et al., Citation2014; Papas et al., Citation2012). Moreover, results show that most of the study population have at least attended secondary school (Birhanu et al., Citation2014; Medley et al., Citation2014; Onya et al., Citation2012; Peltzer & Pengpid, Citation2012; Sfendla et al., Citation2018; Takahashi et al., Citation2018). Diverse presentations were also observed with regard to study settings. For instance, out of the 12 studies in the Southern region, 10 were from South Africa (Cubbins et al., Citation2012; Koopman et al., Citation2008; Meade et al., Citation2015; Medley et al., Citation2014; Mushanyu et al., Citation2017; Onya et al., Citation2012; Peltzer & Pengpid, Citation2012; Scheibe et al., Citation2016; Schneider et al., Citation2016; Watt et al., Citation2016; Wechsberg et al., Citation2008), and the study settings were urban (Koopman et al., Citation2008; Peltzer & Pengpid, Citation2012; Scheibe et al., Citation2016; Wechsberg et al., Citation2008), rural (Cubbins et al., Citation2012), and peri-urban areas (Meade et al., Citation2015; Onya et al., Citation2012; Watt et al., Citation2016).

Types of substances used

The results indicate alcohol (Birhanu et al., Citation2014; Cubbins et al., Citation2012; Embleton et al., Citation2013; Ferreira-Borges et al., Citation2015; Ghebremichael et al., Citation2009; Glozah et al., Citation2015; Kalema et al., Citation2015; Koopman et al., Citation2008; Medley et al., Citation2014; Onya et al., Citation2012; Papas et al., Citation2012; Peltzer & Pengpid, Citation2012; Schneider et al., Citation2016; Takahashi et al., Citation2018, Citation2017; Watt et al., Citation2016; Wechsberg et al., Citation2008) as the most predominantly used substance in most of the countries. The second commonly reported type of substance used in other countries is cigarette smoking (Ali et al., Citation2012; Birhanu et al., Citation2014; Embleton et al., Citation2013; Gravely et al., Citation2018; Jradi et al., Citation2013; Peltzer & Pengpid, Citation2012; Sreeramareddy et al., Citation2014; Takahashi et al., Citation2017). Additionally, studies from South Africa indicate a variety of substances used such as alcohol (Cubbins et al., Citation2012; Koopman et al., Citation2008; Medley et al., Citation2014; Onya et al., Citation2012; Peltzer & Pengpid, Citation2012; Schneider et al., Citation2016; Watt et al., Citation2016; Wechsberg et al., Citation2008), methamphetamine (Meade et al., Citation2015; Mushanyu et al., Citation2017; Wechsberg et al., Citation2008), amphetamine-type stimulants (ATS) (Scheibe et al., Citation2016), heroin (Scheibe et al., Citation2016; Wechsberg et al., Citation2008), cocaine (Wechsberg et al., Citation2008), crack cocaine (Wechsberg et al., Citation2008), tobacco (Wechsberg et al., Citation2008), cannabis (Wechsberg et al., Citation2008), methaqualone (Wechsberg et al., Citation2008), ecstasy (Wechsberg et al., Citation2008), marijuana (Wechsberg et al., Citation2008), cigarette smoking (Peltzer & Pengpid, Citation2012), snuff (Peltzer & Pengpid, Citation2012), chewing tobacco (Peltzer & Pengpid, Citation2012), cigars (Peltzer & Pengpid, Citation2012).

Risk and protective factors identified in the studies

Appendix B gives an overview of risk and protective factors for substance use and prevention interventions for substance use in Africa. A wide spectrum of risk factors were reported in the accepted studies, ranging from age (Crunelle et al., Citation2018; Cubbins et al., Citation2012; Sreeramareddy et al., Citation2014), gender (Birhanu et al., Citation2014; Cubbins et al., Citation2012; Medley et al., Citation2014; Scheibe et al., Citation2016; Sreeramareddy et al., Citation2014; Takahashi et al., Citation2017), level of education (Crunelle et al., Citation2018), marital status (Cubbins et al., Citation2012; Sreeramareddy et al., Citation2014), unemployment (Ratliff et al., Citation2016; Sreeramareddy et al., Citation2014), area of residence (Sreeramareddy et al., Citation2014), occupation (Sreeramareddy et al., Citation2014), employment status (Cubbins et al., Citation2012; Sreeramareddy et al., Citation2014), lack of alcohol use screening (Koopman et al., Citation2008), poor mental health (Peltzer & Pengpid, Citation2012; Sfendla et al., Citation2018), psychological factors (anxiety/stress/depression) (Peltzer & Pengpid, Citation2012; Sfendla et al., Citation2018), accessibility of alcohol and substances (Duresso et al., Citation2018; Embleton et al., Citation2013; Kalema et al., Citation2015; Meade et al., Citation2015; Onya et al., Citation2012; Scheibe et al., Citation2016; Takahashi et al., Citation2017), availability of alcohol and substances (Duresso et al., Citation2018; Meade et al., Citation2015; Onya et al., Citation2012; Takahashi et al., Citation2017), participants’ place of origin (Birhanu et al., Citation2014; Cubbins et al., Citation2012; Meade et al., Citation2015; Onya et al., Citation2012), adults drug users (Onya et al., Citation2012), adult drug dealers (Onya et al., Citation2012), antisocial behavior among adults in the community (Onya et al., Citation2012), incomplete adherence to medication (Medley et al., Citation2014), high risk sexual behaviors (Medley et al., Citation2014), ethnicity (Cubbins et al., Citation2012; Wechsberg et al., Citation2008), race (Scheibe et al., Citation2016), socioeconomic background (Embleton et al., Citation2013; Meade et al., Citation2015), social background (Embleton et al., Citation2013; Meade et al., Citation2015), scarcity of counseling skills (Schneider et al., Citation2016), lack of clarity for PHCW regarding guidelines on alcohol use when on ART (Schneider et al., Citation2016), attitudes and perceptions (Watt et al., Citation2016), misinformation (Watt et al., Citation2016), lack of religious affiliation (Cubbins et al., Citation2012; Sreeramareddy et al., Citation2014), low self-esteem (Glozah et al., Citation2015), to poverty (Glozah et al., Citation2015). Only one study in Southern Africa did not state the risk factors observed (Mushanyu et al., Citation2017). Overall, age and gender were the most reported risk factors in the studies.

Additional risk factors reported in East Africa, North Africa as well as in Central Africa were lack of implementation and enforcement of policies (Ali et al., Citation2012; Ferreira-Borges et al., Citation2017; Ratliff et al., Citation2016), lack of refusal skills (Kalema et al., Citation2015), social pressure (Birhanu et al., Citation2014; Duresso et al., Citation2018; Embleton et al., Citation2013; Takahashi et al., Citation2017), poor academic performance (Birhanu et al., Citation2014), addiction (Beard et al., Citation2010; Embleton et al., Citation2013), early aggressive behavior (Ghebremichael et al., Citation2009), sexual abuse (Ghebremichael et al., Citation2009) as well as women who reported difficulty in conceiving (Ghebremichael et al., Citation2009). Of particular note is media and advertising (Ferreira-Borges et al., Citation2017) being reported as a risk factor in Central Africa and lack of inclusion of substance use in the school curricula (Agaku et al., Citation2015).

Prevention interventions identified in the studies

A wide range of prevention interventions for substance use was identified throughout the African continent as shown in Appendix B. Both individual and community-based prevention interventions have been reported. Of note is that some prevention intervention strategies were demographic groups specific, while others were nonspecific, targeting the general population. The demographic group’s specific prevention interventions employed in Southern Africa targeted groups such as people living with HIV (Medley et al., Citation2014), general practitioners (Koopman et al., Citation2008), high school students (Onya et al., Citation2012), Community Popular Opinion Leaders (CPOL) (Cubbins et al., Citation2012) as well as Cape Town Women’s Health CoOp (Wechsberg et al., Citation2008). In North Africa, the reported demographic-specific target groups included Male Injecting Drug Users (Ghaddar & Ghaly, Citation2016).

In Southern Africa, prevention interventions reported varied from use of Primary Health Care Settings (Koopman et al., Citation2008), more explicitly targeting general practitioners (Koopman et al., Citation2008), use of Community Popular Opinion Leaders (CPOL) community-based intervention (Cubbins et al., Citation2012), individual-level counseling strategies (Wechsberg et al., Citation2008), training and empowerment of PHCW (Schneider et al., Citation2016), an improvement on levels of information disseminated to target groups and addressing misinformation (Schneider et al., Citation2016; Watt et al., Citation2016) as well as generation of public and health policymakers awareness on the detrimental effects of substance abuse using various media platforms such as social media and text messages to target groups (Watt et al., Citation2016). Additionally, enforcement of Fiscal (Price and Tax) Policy (Sreeramareddy et al., Citation2014), Trade Policies on tobacco products (Sreeramareddy et al., Citation2014) as well as prevention interventions targeting to influence the attitudes and perceptions (Watt et al., Citation2016) of target groups and the community at large were also reported in the selected studies as shown in Appendix B.

In East Africa, reported prevention interventions included government sets guidelines for screening and management of chronic alcohol poisoning in health centers (Kalema et al., Citation2015), stricter control over the production and sale of alcohol as well as Fiscal (Price and Tax) Policy (Kalema et al., Citation2015), licensing, pricing and taxation (Kalema et al., Citation2015), age restrictions (Kalema et al., Citation2015), restrictions on sales hours and days (Kalema et al., Citation2015), and promotion and advertisement bans as well as a comprehensive alcohol policy (Kalema et al., Citation2015), misuse prevention using information and sensitization campaigns (Kalema et al., Citation2015), brief interventions for hazardous drinkers (Kalema et al., Citation2015), support and treatment for addicted persons (Kalema et al., Citation2015) and enforcement of regulatory measures (Kalema et al., Citation2015), changes in the environment to restrict access to alcohol (Takahashi et al., Citation2018) as well as the use of CHWs in impoverished settings (Takahashi et al., Citation2018) (Appendix B).

Medical school-based preventive interventions were reported in North Africa, more specifically medical schools of the Middle Eastern and North African (MENA) regions (Jradi et al., Citation2013). Use of physicians and other healthcare professionals in the WHO MPOWER package and interventions (Jradi et al., Citation2013), provision of psycho-educational programs for individuals with drug dependence and helping them to find social support, job opportunities, improve their level of education as well as provide adequate medical care while also taking care of their depressive symptoms among other interventions (Sfendla et al., Citation2018) as shown in Appendix B.

In West Africa, reported prevention interventions included life skills training as well as the use of Alcohol Abstinence Self Efficacy Scale (Glozah et al., Citation2015), use of peer education facilitators/educators especially those that were using drugs (Stengel et al., Citation2018). No prevention intervention strategies were reported in Central Africa.

Discussion

The scoping review showed that a variety of substances are used across the African continent including but not limited to alcohol, tobacco, methamphetamine, glue, cigarettes, miraa, marijuana, petrol as well as other injecting drugs. Findings from the studies conducted in the Southern African region, particularly from South Africa, have shown that Methamphetamine and its related products are predominantly used (Meade et al., Citation2015; Mushanyu et al., Citation2017; Scheibe et al., Citation2016). This finding is also supported by the United Nations World Drug Report of 2011 (UNODC, Citation2011), which indicated that the use of Amphetamine-Type Stimulants (ATS) products including methamphetamine had been largely alluded to in the Southern region of Africa in countries like Zambia, Zimbabwe with South Africa being more dominant. Additionally, the (UNODC, Citation2011) report indicated that the African region takes the lead in distributing ATS and methamphetamine with West Africa as the major supplier of the products to the East Asian region. The marketplace for these illicit drugs has stretched from the Asian region to Europe, and it has been noted that there people who transport the drugs to the region (Ibid).

Some of the studies focused on adolescents (Agaku et al., Citation2015; Birhanu et al., Citation2014; Mushanyu et al., Citation2017; Onya et al., Citation2012) and vulnerable children (Beard et al., Citation2010; Embleton et al., Citation2013) who used or had access to drugs. This finding resonates with Degenhardt et al. (Degenhardt et al., Citation2008), who reported that trends have shown that drug initiation mostly starts between the onset of puberty until late adolescence in most countries. Furthermore, the authors also argued that the longevity of the use of illicit drugs prolongs into adulthood and supersedes the use of licit drugs (Degenhardt et al., Citation2008).

Our scoping review has shown that age, area of residence, accessibility of alcohol and substances, availability of alcohol and substances, participants’ place of origin, antisocial behavior among adults in the community, ethnicity, social background, low self-esteem, and poverty are risk factors for substance use. These findings are in agreement with (Haase & Pratschke, Citation2010), who have previously reported that age of a young person, ethnicity, self-esteem or self-concept, use of other substances as a risk for using more substances and peer pressure or having a girlfriend or boyfriend using substances are risk factors for substance use (Haase & Pratschke, Citation2010). Risk factors related to a young person’s parents and home, such as lack of parental involvement and concern, use of substances by significant family members as well as risk factors related to the school environment have also been reported (Haase & Pratschke, Citation2010). The risk factors findings of our scoping review, therefore, correlate well with other reports and publications (Deb & Gupta, Citation2017; Morojele et al., Citation2013; National Institute on Drug Abuse, Citation2003; Spooner & Hetherington, Citation2004; Wallace et al., Citation2003) Our findings also show gender to be a risk factor for substance use. However, Hasse & Pratschke (Haase & Pratschke, Citation2010), deviates from that notion, reporting that gender is not necessarily a risk factor for substance use in a different study.

Vulnerable populations for substance use were also identified in our scoping reviews, such as people living with HIV, high school students, Male Injecting Drug Users, and Street children. In agreement with our findings, other studies have previously reported the existence of vulnerable populations for substance use (Agerwala & McCance-Katz, Citation2012; Naidoo et al., Citation2016).

A wide spectrum of prevention interventions is reported in our scoping review. The reported prevention interventions fall into various broad categories, such as individual-based interventions, family-based interventions, school-based interventions, workplace-based interventions, environmental-based interventions, media-based interventions, as well as community-based prevention interventions. Prevention interventions shown in this scoping review include use of Primary Health Care Settings, more specifically targeting general practitioners, life skills training, use of Alcohol Abstinence Self Efficacy Scale, use of Community Popular Opinion Leaders (CPOL) community-based intervention, individual-level counseling strategies, training and empowerment of PHCW, an improvement on levels of information disseminated to target groups and addressing misinformation, generation of public and health policymakers awareness on the detrimental effects of substance abuse using various media platforms such as social media and text messages to target groups.

Additionally, enforcement of Fiscal (Price and Tax) Policy, Trade Policies on tobacco products as well as prevention interventions targeting to influence the attitudes and perceptions of target groups and the community at large. The findings of our scoping review correlate well with other reports and publications focusing on various prevention interventions (Deb & Gupta, Citation2017; Kumpfer, Citation2014; Riva et al., Citation2018; Warren, Citation2016; WHO, Citation2018).

Conclusion

Our scoping review has shown that a variety of substances are used in Africa, with the Southern African region having the most significant variance. Of this great variance, the majority are illicit. Furthermore, alcohol and substance use is more prevalent in urban areas as opposed to rural areas. Different populations have been reported to use alcohol and substances in the African continent, among them adolescents as young as 10 years old, which is worrying. Lastly, most studies in the scoping review comprised both males and females, which indicates that both genders use alcohol and substances alike. The findings also indicated the existence of a wide range of risk factors for substance use throughout the African continent.

Additionally, there exists a diversity of substance use vulnerable population groups requiring demographic-specific prevention interventions to ensure their effectiveness. Currently, a wide spectrum of substance use prevention interventions has been implemented through ought the African continent, ranging from individual-based interventions, family-based interventions, school-based interventions, workplace-based interventions, environmental-based interventions, and media-based interventions to community-based prevention interventions. The effectiveness of these various prevention interventions in the African continent remains to be further elucidated, explored, and tested.

Disclosure statement

No potential conflict of interest was reported by the author(s).

References

Appendix A.

Summary of study population major characteristics and types of substances used

Appendix B.

Summary of risk factors and prevention interventions identified in the studies