Skip to main content
Addiction Science & Clinical Practice logoLink to Addiction Science & Clinical Practice
. 2026 Jun 26;21:52. doi: 10.1186/s13722-026-00691-1

The HOPE program: protocol for a stratified cluster randomized controlled trial to prevent psychoactive substance use and promote health in Moroccan middle school students

Hicham El Malki 1,2,✉, Salma Ghofrane Moutawakkil 1, Abdelfettah El-Ammari 1, Mohammed El Amine Ragala 1,3, Fadoua Taoufik 4, Samir Elgnaoui 5, Khadija Zaidi 6, Imane Taoufiq 7, Said Chibri 5, Ghada Beniaich 8, Abdelghaffar El-Ammari 9, Hicham El Kazdouh 10, Achraf El Asri 1,2, Amine El Moutaouassil 5, Samira Abbouyi 1, Deyae Zerrouk 1, Kenza Kassab 1, Samira Bouazza 1, Karima El Rhazi 1, Btissame Zarrouq 1,3
PMCID: PMC13310439  PMID: 42363257

Abstract

Background

Early adolescent psychoactive substance use poses major health and social risks. School-based programs enhancing psychosocial skills are effective for prevention. This study aims to develop, implement, and evaluate “HOPE”, a school-based program to prevent substance use and promote health among first-year middle school students in Fez, Morocco.

Methods

A stratified cluster randomized controlled trial will be conducted across 12 middle schools, enrolling 1,000 first-year students (500 intervention, 500 control) and 60–90 parents. Stratified cluster randomization based on sociodemographic characteristics will ensure group balance. The intervention will be delivered over two years through 22 structured in-person group sessions (15 for students, 7 for parents) at participating schools. Data collection will involve structured student questionnaires and parent focus groups to assess a range of outcomes, including knowledge acquisition, attitude change, development of psychosocial skills, substance use patterns, and related behavioral and psychological effects. Measurable objectives include improvements in knowledge and psychosocial competencies, as well as reductions in substance use and associated harms. Expected outcomes include delayed initiation of substance use and enhanced student well-being.

Discussion

We expect that the program will help to prevent and/or delay psychoactive substance use among first-year middle school students by reinforcing protective factors and reducing risk factors. We anticipate a reduction in current substance use, a decreased risk of abuse, and diminished physical and psychological effects. This study will evaluate the effectiveness of the "HOPE" program in reducing substance use and improving the physical and mental health of first-year middle school students in Fez. Its multi-year structure and potential positive outcomes could serve as a foundation for a national school-based prevention initiative in Morocco.

Trial registration

Pan African Clinical Trial Registry PACTR202401711272288 (Registered on January 26, 2024).

Keywords: Psychoactive substance, HOPE, School-based, Students, Psychosocial skills

Introduction

Background

The use of psychoactive substances (PAS), a multifaceted global issue, is currently acknowledged as a major societal problem [1, 2], with 284 million individuals aged 15–64 (5.6% of this demographic) reporting drug use in 2020 [3]. Early PAS initiation among adolescents represents a critical public health concern, with extensive research demonstrating both acute and chronic health consequences [4, 5] and consistently documenting elevated usage rates across diverse national contexts [6]. Moroccan epidemiological studies reveal particularly alarming trends, with school-based surveys showing early initiation patterns [7]. The third Global School-Based Student Health Survey (GSHS) of 2016 identified an increasing early prevalence of substance use among students aged 13 to 17 [8]. Similarly, the 2017 Mediterranean Survey on Alcohol and Other Drug Use in Schools (MedSPAD III) reported early initiation, with average ages of 15 for alcohol, 14.3 for tobacco, and 15.4 for cannabis [9]. Additionally, a cross-sectional study conducted in Morocco’s Centre-North region between 2012 and 2013 found that the average age of smoking initiation was 14, coinciding with the transition from middle to high school [7]. Among the 3,020 students surveyed, 16.1% reported smoking, with hookah (70.6%), snuff (42.8%), and chewing tobacco (35%) being prevalent [10]. Smoking rates were significantly higher in high school students (21.2%) compared to middle school students (11.9%) [10, 11].

Adolescent engagement in PAS use adversely affects psychosocial and neurocognitive development, increasing the risk of substance abuse, dependence, impaired cognition, aggression, social difficulties, and psychiatric disorders [12–16]. Preventing these effects is challenging, with the best strategy being to delay or prevent drug use onset [17, 18].

Evidence-based school prevention programs represent a validated strategy for delaying substance use initiation among adolescents. Their large-scale implementation offers an efficient.

public health approach to prevention [19, 20]. Multiple theoretically-grounded prevention models have been empirically developed, tested, and evaluated across different contexts and cultures [21–29]. Effective models typically integrate strategies focusing on knowledge, skills, and social influences [15, 23, 29, 30]. Among these models, empirical evidence suggests that the most effective programs are those that simultaneously combine the delivery of knowledge, the development of personal and social skills, and the targeting of social influence processes [31–34]. Prominent examples include Life Skills Training (LST), Unplugged, Project ALERT, Lions Quest Skills for Adolescence, and Health4Life, all of which have demonstrated significant effects in preventing substance use [28, 30, 35, 36]. These programs not only impart information about the nature and adverse consequences of substance use but also aim to develop psychosocial skills to help adolescents manage social pressures, resist substance offers, reduce motivations, and build resilience [23, 29, 33, 37]. Contemporary approaches increasingly emphasize the importance of incorporating the family environment by engaging parents in interventions [38–40].

Evidence-based school prevention programs draw upon established behavioral theories to explain behavioral change mechanisms. Social Learning Theory (SLT) [41] and Problem Behavior Theory (PBT) [42] describe observational learning and risk behavior development, while the Health Belief Model (HBM) [43] and Theory of Reasoned Action (TRA) and Theory of Planned Behavior (TPB) [44] explain decision-making processes. Social Norms Theory (SNT) [45] complements these by addressing substance use-related perceptual biases.

In the Moroccan context, the lack of research on prevention programs targeting PAS use through psychosocial skills development, coupled with the challenges of adapting existing models - often limited in accessibility and insufficiently aligned with the specific sociocultural needs of Moroccan adolescents - underscores the need for tailored interventions.

A stratified Cluster Randomized Controlled Trial (cRCT) will be conducted in Fez City to develop, implement, and evaluate the “HOPE” school-based prevention program, aiming to prevent PAS use and promote mental and physical health among Moroccan first-year middle school students through the development of psychosocial skills and parental involvement.

Objectives

This study aims to:

  1. Develop the “HOPE” program to prevent PAS use (tobacco, cannabis, alcohol, benzodiazepines, inhalants) by improving knowledge, attitudes, and psychosocial skills.

  2. Implement and evaluate the program in six middle schools during the 2024-2025 and 2025-2026 school years, focusing on implementation aspects like dose, fidelity, and stakeholder feedback.

  3. Assess the short-term impact on mediators such as knowledge, attitudes, and psychosocial skills in both intervention and control groups.

  4. Evaluate the program’s effectiveness at 0, 6, 12, and 18 months on the age of initiation, substance use prevalence, and intention to use.

  5. Examine the impact on physical symptoms (insomnia, violent behavior) and psychiatric symptoms (depression, anxiety, stress, suicidal risk) related to substance use.

Materials and methods

Reporting standards

This study protocol adheres to the SPIRIT 2025 statement and the TIDieR guidelines for intervention reporting.

Study design

A stratified cRCT will be conducted with first-year middle school students and their parents in Fez, spanning from 2024 to 2027. The research will involve 12 distinct middle schools and 1,000 students from 24 classes. Participants will be divided into an intervention group (nIG = 500), receiving 15 program sessions over 13 months during the 2024–2025 and 2025–2026 school years, and a control group (nCG = 500), which will be monitored without receiving any structured intervention to isolate the specific causal effect of the program by eliminating confounding factors, in accordance with the methodological standards of randomized controlled trials [46, 47]. Each group will be drawn from 6 separate schools (2 classes per school) to minimize contamination and prevent the Hawthorne effect [48]. Concurrently, 60–90 parents/guardians will participate in 7 parallel training sessions to support the intervention (Fig. 1).

Fig. 1.

Fig. 1

Standard protocol items: recommendations for interventional trials (SPIRIT); enrolment, interventions and assessments

Study population

First-year middle school students aged 12 to 13 at baseline, enrolled in public middle schools in the city of Fez, will take part in the study. This cohort was selected based on a combination of developmental, epidemiological, and methodological considerations: (i) they precede the average age of substance use initiation, which is approximately 14 years according to MedSPAD III [9], enabling timely prevention of risk behaviors; (ii) at this stage of development, consumption patterns are typically not yet established, providing an optimal window for intervention before experimentation begins; and (iii) the three-year middle school structure within the same institution facilitates stable longitudinal monitoring — unlike primary schools, where the transition to middle school complicates rigorous long-term follow-up. In addition, a subset of 10 to 20 parents or guardians of students from each intervention school will be invited to attend the training sessions and to qualitatively evaluate the “HOPE” program (Fig. 2).

Fig. 2.

Fig. 2

Flowchart of the overall design of “HOPE” program

Recruitment and informed consent

The Fez-Meknes Regional Academy of Education and Training has initiated the process of identifying middle schools that meet the eligibility criteria and will select 12 out of 40 public middle schools based on sociodemographic criteria (disadvantaged, intermediate, and well-off) to achieve a comprehensive representation of various backgrounds from which schools will be chosen. Six schools will implement the “HOPE” program, while the other six will serve as controls. After obtaining authorization, school heads will be informed via official letters and in-person meetings. Following confirmation of participation, students will be briefed through class meetings organized by the study team, outlining the study’s objectives and enrollment procedures.

In addition, printed consent packs will be sent to the students’ homes, comprising four key components: (1) an informative leaflet explaining the study and data collection procedures; (2) a written consent form for parents or guardians; (3) a written assent form for the students themselves; and (4) an additional written consent form for parents or guardians of students in the intervention group, granting them the option to attend the parent sessions if they choose to participate.

Eligibility criteria

Eligibility criteria required students to be 12 to 13 years old at the start of the study, currently enrolled in the first year of middle school, with both their own written consent and that of their parents or guardians. Parents were eligible if their children were included in the intervention group and provided written informed consent. Exclusion criteria included previous or current participation in another school-based PAS prevention program or refusal to attend all program sessions.

Sample size

The sample size for this cluster-randomized trial was calculated through a two-stage process that integrated both conventional sampling theory and cluster-specific adjustments. Initial estimation followed standard simple random sampling methodology from a target population of 23,388 first-year middle school students across public schools in Fez, based on 2023–2024 statistics from the Ministry of National Education and Vocational Training, using the formula: n = [Z² × P(1-P)] / e² [49], where Z represents the 95% confidence interval critical value (1.96), P the expected proportion (set at 0.5 for maximal variance), and e the margin of error (3.2%). This calculation indicated a minimum requirement of 944 participants.

Given the hierarchical structure (students nested within schools) and the longitudinal nature of the study aiming to detect intervention-by-time interactions across four measurement waves (baseline plus three follow-ups), intra-cluster correlation (ICC) was accounted for using Heo and Leon’s [50], method specifically developed for longitudinal cluster randomized trials.

Twelve middle schools, with an average of 35 students per class, were selected for inclusion and equally allocated between intervention and control groups. Sample size calculations assumed a two-tailed significance level of α of 0.05, 80% statistical power, an ICC of 0.01 (based on educational intervention standards [51–54]), an average cluster size of 35 students per class, and a standardized minimum detectable effect size of d = 0.15, which aligns with findings from previous school-based prevention (reported effect sizes ranging from 0.15 to 0.30 [55–57]).

The cluster-adjusted calculation yielded a requirement of 914 participants. After incorporating an 8% attrition rate (derived from comparable school-based trials [56, 58–60]), the target increased to 987 students, which we rounded to 1,000 students (from 24 classes across 12 schools) for practical implementation.

The sample size calculation was primarily based on the expected intervention effects regarding proximal outcomes (knowledge, attitudes, and psychosocial skills). Distal outcomes of a clinical or behavioral nature, considered exploratory within the scope of the present study, were not incorporated into this power calculation.

For parents/guardians, a total of 60 to 90 will be recruited for training sessions and qualitative evaluations of the “HOPE” program. Based on qualitative study recommendations, which suggest a minimum of 50 participants for data saturation [61], participants will be selected based on availability and socioeconomic background: 20 to 30 from low-income, high-income, and middle-class neighborhoods each.

Randomization

The randomization process will be organized into three distinct phases to ensure both a random and balanced allocation of schools and classes between the intervention and control groups.

Schools will initially be stratified into three sociodemographic categories (low, medium, affluent) based on predetermined criteria including geographic location, neighborhood income levels, and available institutional resources as determined by the Regional Academy of Education and Training. Within each stratum, four schools will be randomly selected using a computer-generated randomization sequence, with two assigned to the intervention group and two to the control group, yielding a total sample of twelve participating institutions equally divided between study conditions.

Following school selection, class-level randomization will be conducted within each participating institution through a sealed envelope procedure supervised by the Fez-Meknes Regional Academy to ensure procedural integrity. This stage will account for practical constraints including grade-level availability and scheduling considerations while preserving random allocation principles. Subsequently, a matching procedure will be implemented to enhance baseline equivalence between groups, focusing on key covariates including class size, gender distribution, and prior academic achievement as measured by standardized performance metrics from the preceding academic year.

The entire randomization procedure will be completed prior to the start of data collection and will be thoroughly documented to guarantee transparency, reproducibility, and methodological rigor.

Intervention

The “HOPE” program is a Moroccan initiative aimed at preventing the use of PAS by reinforcing protective factors and reducing risk factors among middle school students. Its main objectives are to prevent or delay the initiation of PAS, to reduce consumption among current users, and to decrease the physical and psychological effects associated with PAS consumption.

Program theoretical basis

Any prevention program (or intervention) does not work by itself and is not what produces an effect. In fact, each intervention initiates a mechanism or a set of mechanisms that enable the production of specific effects. In addition, since every intervention is situated in a context, the interaction of the context and the intervention is what triggers—or not—the mechanism that leads to the effect or outcome. Several social psychology theories have been formulated and empirically tested in the context of diverse prevention programs to elucidate how the introduction of resources based on psychosocial skills within specific contexts can trigger mechanisms that generate positive results [62, 63].

The “HOPE” prevention program is being designed by incorporating several theories that will serve as the theoretical foundation for this research project: (i) behavior theories [social learning theory [64], the theory of problematic behavior [42], the health belief model (HBM) [65], the theory of reasoned action (TRA) and planned behavior (TPB) [44], and the theory of social norms [66], (ii) communication theories [McGuire communication model [67], the petty & Cacioppo persuasion model [68], Greenwald’s cognitive response model [69], and (iii) theory of engaging communication [engagement theory [70] (Fig. 3).

Fig. 3.

Fig. 3

Theoretical framework of the “HOPE” program

Causal pathways

The intervention is hypothesized to primarily influence primary outcomes directly targeted by the session content, including adolescents’ knowledge, attitudes, and psychosocial skills. These direct effects are grounded in the theoretical frameworks underpinning the intervention: behavioral theories explain changes in knowledge, attitudes, and skills, while communication and engagement theories elucidate persuasion and active participation.

Changes in these variables are conceptualized as mediating mechanisms linking the intervention to behavioral outcomes. Strengthening psychosocial skills and adjusting perceived norms reduce vulnerability to peer influence, strengthen intentions not to use PAS, and decrease the likelihood of initiation or continued use. Consequently, behavioral indicators (prevalence, age of initiation, patterns of use) are considered secondary outcomes, reflecting downstream effects of changes in cognitive and psychosocial processes.

Finally, mental health indicators (anxiety, depression, stress, sleep disturbances) are distal exploratory outcomes, expected to change indirectly through reduced risk behaviors and improved coping.

Sessions

The program will consist of a total of 22 training sessions, with 15 sessions dedicated to students in the intervention group, and 7 sessions for their parents. Within the student sessions, during the first school year of program implementation (2024–2025), 10 sessions will be scheduled with the aim of raising knowledge of the risks associated with PAS, challenging the normalization of PAS use by evaluating attitudes toward acceptability and negative consequences, and fostering psychosocial skills, in particular interpersonal (communication, group dynamics, social support, and peer influence/pressure), as well as intrapersonal skills (self-esteem, problem-solving, decision-making, stress and emotion management) (Table 1). 5 additional consolidation sessions will be provided in the second school year (2025–2026) according to the needs identified at the end of the first phase, with the aim of strengthening and consolidating the knowledge and skills acquired in the first year.

Table 1.

Overview of the program plan (student sessions)

Lesson Title Time (mn) Aim Resources, materials
Sequence 1 Sequence 2
1 Opening of the Program “HOPE” 90 90

Introduce the program and the various sessions to be carried out.

Determine the program’s objectives in the short, medium and long term.

Specify the rules to be adopted and followed during the sessions.

Poster

Program booklet

Class charter

2 Risky behaviors 90 90

Understanding the concept of risk behavior.

Differentiate between risk behavior and healthy behavior.

understand the relationship between risk behavior and psychoactive substances.

Presentation

Worksheets for group work

Game

3 Drugs: false representations 90 90

Correct the information concerning the PAS.

Reflect on the differences between personal opinion and reality.

Reassess students’ norms about PAS.

Presentation

Question sheets

Plenary discussion

4 Communication 90 90

Knowing and identifying existing communication styles.

Distinguish between verbal and nonverbal communication.

Understanding the importance of good communication.

Situation play

Situation sheets

Group work

5 Emotions and stress management 90 90

Learning to describe and differentiate between emotions.

Reflect and express emotions appropriately.

Learn to relax in stressful situations.

video presentation

Role play

Relaxation session

6 Critical/creative thinking 90 90

learn to evaluate information critically.

Improve decision-making based on reliable data.

Encouraging creative thinking and self-control.

Presentation

Situation sheets

Group work

7 Group membership /peer pressure 90 90

Identify situations where pressure is being exerted on a person.

Learn to stand up for your rights and say no.

Developing respect for the rights and opinions of others.

Video presentation

Plenary discussion

Game

8 Resolving problems 90 90

Analyze a problem situation and provide a solution.

Establish a procedure to choose the right response to the problem.

Working as part of a team.

Situation sheets

Role play

Plenary discussion

9 Self-confidence 90 90

Encouraging self-awareness and knowledge of others.

Encourage the identification of positive qualities in oneself and in others.

Improve self-esteem.

Work in pairs

Situation play

Plenary discussion

10 Decision-making 90 90

Analyze a problem situation and provide a solution.

Establish a procedure to choose the right response to the problem.

Collaborating as a team to make the right decision.

Situation sheets

Game

group work

The design of the sessions prioritizes alignment with the developmental stage of the Moroccan adolescents involved, with content, pedagogical methods, and communication strategies adapted to their cognitive maturity and learning styles, in order to optimize comprehension, engagement, and overall intervention effectiveness.

For parents, of the 7 sessions planned, 5 will be delivered in the first school year of the program and 2 in the second year. These initial 5 sessions are designed to empower parents with essential skills to navigate the complexities of raising adolescents effectively and fostering positive family dynamics. The focus will be on enhancing their understanding of adolescence as a critical and challenging life stage, gaining insights into drug addiction (its various manifestations and risks), and acquiring effective communication techniques to facilitate improved parent child relationships, and bolster the psychosocial abilities of their adolescents (Table 2).

Table 2.

Overview of the program plan (parents/guardian’s sessions)

Lesson Session title Time (mn) Aim Resources, materials
Sequence 1 Sequence 2
1 Opening of the Program “HOPE” 90 90

Introduce the program and the various sessions to be carried out.

Specify the program’s objectives in the short, medium and long term.

Poster

Program booklet

2 Adolescence: what parents need to understand 90 90

Understanding the adolescent stage and its needs.

Demonstrate empathy toward children to manage family conflicts.

as effectively as possible.

Be familiar with educational models and their characteristics.

Presentation

Plenary discussion

3 Addiction: what parents need to know 90 90

Information on PAS.

Generate a more realistic view of PAS addiction.

Correct the information about drugs.

Re-evaluate parents’ norms about PAS.

Know the risk and protective factors that encourage young to take drugs.

Brainstorming

Question sheets

Presentation

Plenary discussion

4 Successful communication 90 90

Be aware of the importance of talking to your child.

Talking to your child about the dangers of using PAS

Establish rules and limits regarding PAS

Video

Situation play

Worksheets for group work

5 Parents and children’s psychosocial skills 90 90

Developing your child’s self-esteem

Learn to be assertive in managing day-to-day problems with your children.

Obtain strategies for dealing with adolescent problems.

Presentation

Role play

Plenary discussion

Parental involvement is a foundational element of the intervention, serving to: (a) enhance parents’ ability to provide educational and preventive support; (b) foster a family environment that ensures alignment between the program’s objectives and the home setting; and (c) contribute to the development of adolescents’ psychosocial skills, while also engaging parents in the program’s evaluation process.

All the sessions planned as part of the program will take place in person at the various middle schools concerned. Each session will be led by a speaker specializing in the area covered by the session objective and will last 3 h. This time volume will be spread over two sequences for each session, for both students and parents, in order to allow sufficient time for the development of each of the desired skills [71]. The sessions will be scheduled according to the duration of each stage of the program, at the rate of two sessions per week for students (considering class schedules), and one session per week for parents/guardians.

The team designated to conduct the sessions will include a total of 13 individuals: 10 facilitators will be responsible for students’ sessions, and 3 for parent sessions. Health professionals (doctors, psychotherapists, nurses, social assistants), teachers, university professors, and members of associations working in the field of risk reduction linked to PAS, will deliver the various sessions of the “HOPE” program. These profiles are selected in accordance with the recommendations of the United Nations Office on Drugs and Crime (UNODC) and the World Health Organization (WHO) for delivering this type of intervention [72, 73].

Implementation

The implementation of the “HOPE” program will be carried out in four phases. Initially, agreements and policies were established with the academy and provincial directorate of education levels. These agreements and policies will facilitate the smooth implementation of the program in state middle schools.

In the second phase (September - December 2023), comprehensive training sessions for the trainers responsible for implementing the program in the selected schools are organized by the program designers in collaboration with the Fez-Meknes Regional Health Authority and Sidi Mohamed Ben Abdellah University. These sessions aimed to ensure program fidelity by equipping facilitators with essential implementation knowledge and skills necessary for the effective execution of the program. A multidisciplinary team of experts—including school psychologists, addiction specialists, health promotion educators, and certified psychosocial education trainers—delivered twelve hours of training across six modules.

The curriculum addressed five core domains: adolescent developmental psychology, clinical and psychosocial dimensions of addiction, evidence-based prevention strategies, psychosocial skill development techniques, and interactive pedagogical methods. Training employed an experiential learning approach through theoretical instruction, case study analyses, role-playing exercises, program session simulations, and collaborative group work.

The training culminated in participant-led demonstrations evaluated by a steering committee comprising psychologists, sociologists, epidemiologists, and psychiatrists. This evaluative component verified content mastery and alignment with predefined pedagogical objectives while ensuring implementation quality through expert feedback.

To enhance adherence among participants (students and parents) to the program sessions, the training provided to trainers emphasized strategies for personalized support, ensured clear and consistent communication regarding the program’s benefits, incorporated regular reminders and feedback mechanisms, and focused on identifying and addressing individual barriers to participation.

The third phase will entail the selection of middle schools that will participate in the program. A careful selection process will be conducted to ensure that the chosen schools align with the program’s objectives and requirements.

Finally, the fourth phase will involve the actual implementation of the “HOPE” program, along with an evaluation process. The evaluation will assess the program’s effectiveness and identify areas that can be improved. Based on the evaluation results, adjustments and enhancements will be made to strengthen the program’s impact during the second year of implementation (consolidation phase).

Program timeline

The sessions of the “HOPE” program will be scheduled over a span of two years, covering the school years 2024–2025 and 2025–2026. The initial 10 student sessions will occur from November 1st, 2024, to June 30th, 2025, followed by 5 consolidation sessions from October 15th to December 15th, 2025. Concurrently, 7 parent sessions will be conducted: 5 sessions from February 1st to June 30th, 2025, and 2 consolidation sessions from October 15th to November 30th, 2025.

Assessment

Impact assessment

A mixed methods process evaluation of the impact of the “HOPE” program will be conducted: -Quantitative data analysis: A quantitative evaluation of the program’s impact, encompassing the following stages: (1) Baseline measurement (T0) will take place on October 28, 2024 (prior to the intervention): Assess PAS-related knowledge, attitudes, substance use prevalence, psychological and physical symptoms, and psychosocial skills among both intervention and control groups. (2) Post-intervention measurement (T1) on December 15th, 2025: Evaluate changes in knowledge, attitudes, psychosocial skills, substance use prevalence, and related symptoms, comparing intervention and control groups. (3) Short-term follow-up (T2) on June 1st, 2026 (6 months post-intervention). (4) Middle-term follow-up (T3) on December 1st, 2026 (12 months post-intervention). (5) Long-term follow-up (T4) on June 1st, 2027 (18 months post-intervention).

- Qualitative data analysis: Focus groups with parents of students will be conducted following the training sessions (T1) to evaluate the “HOPE” program’s effectiveness and its broader impact on drug use among students (Table 3).

Table 3.

Data collection techniques, participants, time, instruments, and variables used in the process evaluation of the HOPE Program

Type Technique Participants Timing Instrument Variables
Quantitative Diagnostic assessment

Students: Intervention group + control group

(n = 1000)

T0

Pre-intervention

Self-report questionnaire Knowledge, attitudes, use of PAS, physical and psychological state and psycho-social skills
Intervention assessment

Students: Intervention group

(n = 500)

T1

At the end

of the 15

HOPE

sessions

Self-report questionnaire Knowledge, attitudes, skills, consumption, and psycho-social skills.

Students: Intervention group + control group

(n = 1000)

T2

6-month follow-up

Self-report questionnaire Consumption of PAS, age of initiation, physical and psychological symptoms

Students: Intervention group + control group

(n = 1000)

T3

12-month follow-up

Self-report questionnaire Consumption of PAS, age of initiation, physical and psychological symptoms

Students: Intervention group + control group

(n = 1000)

T4

18 months follow up

Self-report questionnaire Consumption of PAS, age of initiation, physical and psychological symptoms
Process assessment

Students: Intervention group

(n = 500)

+

Teachers

AFTER every session Self-report questionnaire Dose, fidelity, target achievement, and sessions
Qualitative

Focus Group

(n = 60–90

participants)

Parents of students of intervention group

T1

At the end

of the 7

sessions for parents

Focus Group Consumption of PAS, physical and psychological symptoms present in their children’s
Process assessment Teachers

At the END of the

HOPE sessions

Focus Group Sessions & Program

Immediate post-intervention assessment (T1) is primarily intended to capture proximal changes, whereas follow-up assessments (T2–T4) are designed to evaluate delayed behavioral and clinical effects.

Process assessment

In addition to assessing the program’s impact, a process evaluation will monitor its implementation to ensure alignment with the set objectives. Key indicators will include program dose (session completion), target achievement (student/parent participation), fidelity (materials, duration, content), and session quality (speaker, climate, strengths, weaknesses). Selected teachers associated with the middle schools where the program is being implemented will assess dose, target achievement, and fidelity, while both teachers and students will evaluate session quality. All indicators will be assessed quantitatively and qualitatively at the end of each session and at the program’s conclusion (Table 3).

Outcomes

Expected outcomes are categorized into primary, secondary, and exploratory domains, in line with the hypothesized causal pathways.

Primary outcomes

include PAS consumption metrics, such as age of initiation, prevalence of use (tobacco, cannabis, alcohol, benzodiazepines, inhalants), and related behavioral issues.

Secondary outcomes

encompass knowledge of PAS (physiological effects, risks, psycho-social consequences) and attitudes toward PAS (negative/positive). Interpersonal skills (communication, resistance to group pressure, social support, self-esteem) and intrapersonal skills (problem-solving, decision-making, stress management, emotion regulation) will also be evaluated.

Exploratory outcomes

comprise the physical and psychological effects associated with PAS use, including sleep disturbances, aggression, depression, anxiety, stress, and suicide risk.

As long-term outcomes, these measures are unlikely to change measurably in the immediate post-intervention period. Interpretation will therefore center on follow-up assessments, with early results remaining exploratory.

Data collection

Quantitative data

For impact program evaluation, data collection will involve a self-administered questionnaire written in Arabic, customized to suit the Moroccan context, student vocabulary, and the local language associated with various PAS. This questionnaire, developed by our project team and inspired by internationally used surveys, will include: (1) sociodemographic information, including age, gender, socioeconomic status, place of residence, hobbies, parental status, and educational level; (2) family environment, exploring aspects like parents’ marital status, family structure, relationships with family members, and consumption patterns in the family context; (3) school environment, assessing students interactions with school, classmates, teachers, and academic performance indicators such as grades, absenteeism, and running away; (4) friendship environment, investigating peer associations, relationships, and friends’ influence; (5) knowledge, opinions, and attitudes toward psychoactive substances; (6) substance use, covering initiation age, prevalence, and behavioral issues, with the utilization of validated psychometric scales like: Car, Relax, Alone, Forget, Friends, Trouble (CRAFFT) - (χ²/df = 1.91, Comparative Fit Index (CFI) = 0.98, Normed Fit Index (NFI) = 0.97, Root Mean Square Error of Approximation (RMSEA) = 0.05, SRMR = 0.03) [74], Cannabis Abuse Screening Test (CAST) (χ2/df = 2.23, RMSEA = 0.07, SRMR = 0.02, CFI = 0.99, NFI = 0.98) [75], and Hooked on Nicotine Checklist (HONK) - (χ²/df = 3.31, CFI = 0.98, Tucker-Lewis Index (TLI) = 0.96, RMSEA = 0.09, SRMR = 0.06) [76]; (7) physical health, incorporating insomnia assessment using the Insomnia Severity Index (ISI) scale - (Cronbach’s α = 0.83, Concordance Correlation Coefficient (CCI) = 0.99, kappa coefficient = 0.76) [77], and questions about violent behavior; (8) mental health, exploring potential traumatic experiences, depression, anxiety, stress and suicidal risk by employing scales like Depression, Anxiety and Stress Scale – 21 Items (DASS-21) - (Cronbach’s α = 0.88, CFI = 0.97, TLI = 0.95, RMSEA = 0.03) [78], and suicidal risk in International Neuropsychiatric Interview (MINI) - (Cronbach’s α = 0.89, sensitivity = 0.82, specificity = 1.00, Positive Predictive Value (PPV) = 1.00, Negative Predictive Value (NPV) = 0.98) [79]; and (9) psychosocial skills, evaluating social, cognitive, and emotional skills, including communication, empathy, resistance, negotiation, cooperation, advocacy, decision-making, critical thinking, self-assessment, emotion regulation, stress management, self-evaluation, and self-esteem.

Data will be collected using tablets provided as part of the program, enabling efficient data capture, reducing questionnaire completion time, and minimizing respondent burden and fatigue.

For process evaluation, data will be collected from the teachers of the establishments through a self-administered questionnaire at the end of each session. This questionnaire, consisting of questions with yes/no response options, will assess the delivery of the session, the number of students/parents present, materials used, session duration, content, speaker, climate, and strengths and weaknesses observed. Moreover, students will be provided with a self-administered questionnaire that exclusively includes the same set of questions for session evaluation (covering the speaker, the session atmosphere, and the strengths and weaknesses observed during the session).

Qualitative data

Qualitative data will be collected at two levels during the intervention: - for the evaluation of the impact of the “HOPE” program and the phenomenon of PAS use among adolescents with parents, and - to complete the evaluation of the program process at the end of the intervention with teachers from the participating schools. These data will be collected using the focus group technique which constitutes a form of small group interview which will aim to explore everything related to the subject of the study.

Consistent with the program’s objectives, the key domains explored in the interview guides will include perceived behavioral and psychosocial changes in adolescents related to substance use, parent–child communication, family dynamics and environment, parents’ perceptions of the HOPE program, and barriers and facilitators encountered during program implementation.

The discussions in each focus group will be led by a moderator and an observer, both of whom will be trained to perform this task. The moderator’s role will be to facilitate verbal communication with the participants, while the observer’s role will be to note the various forms of nonverbal communication such as gestures, mimics, and silence that he or she felt would be useful in enriching and complementing the verbal communication. The discussions will be conducted in the Moroccan dialect. The focus group interviews will be audio recorded after obtaining permission from the participants.

To encourage discussion among parents, and since the subject of PAS use is a taboo and sensitive topic in the Moroccan context, focus groups will be conducted with fathers and mothers separately.

The total number of focus groups will not be fixed in advance. Given the focused aim of the study and the specificity of the participant groups, sample size will be guided by the principle of information power, whereby a smaller sample is sufficient when the data collected are specific and directly relevant to the research question [80]. Data collection will proceed iteratively with concurrent analysis until thematic saturation is reached [81]. Saturation will be considered achieved when no new codes emerge from two consecutive focus groups within the same participant category (fathers, mothers, or teachers), and when the research team judges that the data provide a sufficiently rich account to address the research questions.

Data collection and analysis will be conducted iteratively, allowing insights from early focus groups to inform subsequent data collection and support the refinement of emerging themes.

Statistical methods

Statistical analysis of the quantitative data will be conducted using the R programming language. Program effectiveness will be operationalized as between-group differences in the trajectories of primary and secondary outcomes over time, estimated using linear mixed-effects models for repeated measures [82]. Models will include fixed effects for group (intervention vs. control), time (T0 - T4, modeled as a categorical variable to allow for non-linear changes over time), and their interaction, along with relevant covariates identified a priori.

The primary parameter of interest will be the group-by-time interaction term, assessing whether outcome trajectories differ significantly between the intervention and control groups over the study period, with statistical significance evaluated using likelihood ratio tests (LRT) at a two-sided α = 0.05 level [83]. Random intercepts will be included to account for within-subject correlation arising from repeated measures and for the hierarchical structure of the data (students nested within classrooms/schools) [84].

The models will explicitly account for the hierarchical structure of the data, characterized by repeated measures within each student and the clustering of students within classrooms and schools [85]. Specifically, repeated measurements (Level 1) will be taken from students (Level 2), who are nested within classrooms (Level 3), which are in turn nested within schools (Level 4) [86]. Accordingly, random intercepts will be specified at the student, classroom, and school levels to account for within-group correlation. Random slopes for time may also be included, if supported by model fit and convergence, to capture individual variability in outcome trajectories.

Descriptive analyses (means, standard deviations, and proportions) will be performed to summarize baseline characteristics of the study population. Bivariate analyses (proportions, means), and multivariate analyses (logistic and linear regression models) will be carried out to investigate potential associations between independent variables, including the prevalence of PAS use and various aspects of mental and physical health - such as the prevalence of PAS use and various mental and physical health indicators (depression, anxiety, stress, suicidal risk, insomnia, and violent behaviors) - and dependent variables encompassing sociodemographic, academic, and family factors.

Variables associated with the outcome at p < 0.20 in bivariate analyses will be considered for inclusion in the multivariable models during a preliminary selection step. However, final selection will not rely exclusively on this statistical criterion but will also incorporate theoretical and conceptual considerations drawn from the existing literature and the study framework.

Key covariates (socioeconomic status, parental education, family structure, peer influence, and parental substance use) will be defined a priori and retained regardless of their significance in bivariate analyses [87–89]. All selected covariates will be integrated into the mixed-effects models as fixed effects, allowing assessment of their relationships with outcomes over repeated measurements while adequately accounting for the hierarchical structure of the data.

Multivariate analyses, including logistic and linear regression models, will be performed to identify independent factors associated with the outcomes. Results will be reported as odds ratios or regression coefficients with corresponding 95% confidence intervals, and statistical significance will be set at p < 0.05. Potential confounding factors, including socioeconomic status, peer influence, and parental substance use, will be assessed at baseline and adjusted for as covariates in the mixed-effects models to minimize confounding bias.

In the event of missing data, appropriate and robust statistical methods will be employed, including multiple imputations and mixed-effects models, suitable for repeated measures and capable of handling incomplete data under the Missing At Random (MAR) assumption. Patterns of missingness will be explored, and sensitivity analyses will be performed if necessary to assess their influence on the study outcomes.

For qualitative data, all audio recordings obtained from the data collection phase will be organized into two distinct corpora: one comprising teacher handouts and another comprising parental responses. Observers’ notes on nonverbal communication will be integrated into the corresponding corpus. All audio recordings will be transcribed verbatim and, where necessary, translated into the language of analysis.

Textual data will be manually and independently analyzed by two coders using Braun and Clarke’s method of thematic analysis [81]. This approach involves identifying, analyzing, and reporting patterns (themes) within qualitative data in relation to the research question. The analysis will follow the six phases outlined by Braun and Clarke: familiarization with the data, generation of initial codes, search for themes, review of themes, definition and naming of themes, and production of the final report [81].

To ensure analytic rigor, several strategies will be employed throughout the qualitative analysis. Coding will be primarily inductive, allowing themes to emerge from the data, while remaining informed by the interview guide domains and the program’s theoretical framework. Two researchers trained in qualitative analysis will independently analyze all transcripts. Prior to formal coding, they will familiarize themselves with the data and establish a shared preliminary coding framework. Discrepancies in coding or interpretation will be discussed until consensus is reached. Should disagreement persist, a third researcher will be consulted. Final themes will be reviewed by the broader research team to ensure interpretive coherence and fidelity to the data. Throughout the process, researchers will document their assumptions and potential biases in a reflexive manner.

An audit trail will be maintained to document analytic decisions and the steps of theme development, thereby enhancing the transparency and dependability of the analysis.

Data monitoring

Data obtained during the study will be treated with strict confidentiality, and only authorized members of the research team will be granted access to the questionnaires and focus group materials. All consent forms, questionnaires, and focus group recordings will be securely stored within the premises of the responsible researcher for the entire duration of the study and will be securely disposed of two years after the study’s completion. To maintain the anonymity of participants during the monitoring and evaluation processes, unique codes will be assigned to the questionnaires and focus group data instead of using participants’ names.

Discussion

This study protocol presents a cRCT designed to evaluate the impact of the “HOPE” School-Based prevention program on PAS consumption and its associated psychological and physical symptoms among Moroccan students. The primary objective of this research is to gauge the effectiveness of the intervention. Additionally, the research will collect data on various aspects, including knowledge, attitudes, and psychosocial skills, which may play a role in mediating the program’s effectiveness. The results may provide empirical support for integrating evidence-based prevention strategies into national educational policies, potentially informing the development of a standardized, competency-focused intervention framework for adolescent substance use prevention in Morocco.

Strengths and limitations

One significant strength of this study is its development of a school-based prevention program against psychoactive substances, tailored by Moroccan experts to fit the specific needs of the Moroccan context, especially among adolescents. This adaptation draws from successful approaches used in similar contexts. The program will not solely focus on enhancing students’ personal and social skills, it will also extend its reach to address the family context by involving parents and guardians in training sessions regarding PAS and fostering safe behaviors with adolescents.

Furthermore, the study’s thoroughness is evident in its evaluation, which examines both the immediate and long-term effects of the “HOPE” program. With follow-up measurements at 6, 12 and 18 months, researchers can gain insights into how the program impacts participants in the short, medium, and long term.

Another important aspect is the study’s commitment to including a representative sample of 1000 students from the public schools in the Fez Prefecture. This diverse sample is carefully selected by a simple random process of both schools and classes for both the intervention and control groups.

In terms of limitations, the main constraint will be related to the potential high attrition rates of student over the three-year follow-up period, which could introduce bias into the study, although it is worth noting that this challenge is commonly encountered in longitudinal research [90, 91], and the goal is to try to mitigate it by increasing the theoretical sample size (an additional 60 students will be recruited to account for this), and by ensuring a thorough explanation of the importance of the intervention to both students and their parents/guardians. Additionally, the program sessions will be carefully planned to avoid imposing a burden on the students.

An additional limitation of the study is that the data collected at different points in the survey will be based on student and parent self-reports. Although this method is subject to potential measurement biases, including social desirability bias and recall bias, it remains the most recommended approach for assessing behaviors in adolescents and has demonstrated high validity in studies examining drug-related behaviors [15, 27, 92, 93]. Furthermore, it represents the only valid alternative since biological measurements would not be suitable for such a large sample and at the early stages of substance consumption [94, 95]. Strategies such as using validated anonymous questionnaires and conducting sensitivity analyses have been planned to minimize and assess the impact of these biases.

Moreover, the absence of an active control group may introduce potential placebo or expectancy effects, which could influence the comparison of outcomes in this study. However, several measures will be implemented to minimize these risks and maintain scientific rigor, including a strictly parallel evaluation timeline, blinded outcome assessors, the use of validated standardized questionnaires, and covariate control through multivariate analysis. This approach is consistent with pioneering school-based prevention trials [23, 96], where the absence of an active intervention in the control group nevertheless allowed for the demonstration of clear preventive effects.

Program implementation may face several obstacles, including disparities in resources between schools, challenges in sustaining long-term institutional engagement, low student participation rates, and scheduling conflicts with academic calendars.

Moreover, the multi-year design and intensity of the intervention represent both a methodological strength and a potential limitation. While enabling the progressive reinforcement of psychosocial skills and the adoption of protective behaviors toward psychoactive substance use, they may also constrain program sustainability, particularly in resource-limited educational settings, and could hinder broader scalability. All of these challenges will be systematically monitored through process evaluation metrics to guide program adaptation and enhance future scalability.

Finally, another important limitation concerns the logistical and contextual constraints that influenced the choice of the number of participating parents. These include the limited availability of qualified facilitators, who are few and highly specialized in this type of intervention in our context; scheduling conflicts due to the academic calendar, which prevent the delivery of an equivalent number of sessions to both students and parents without delaying the overall implementation and follow-up process; historically low parental engagement in such school-based programs, often due to confidentiality concerns or a lack of perceived relevance; and budgetary constraints that limit the logistical resources required to involve a larger parent sample.

Conclusion

This study will design and assess a school-based prevention program targeting PAS consumption, as well as some aspects of the physical and mental health of adolescents in the middle schools of Fez city in Morocco. The outcomes of this study will provide insights into the effectiveness of the “HOPE” prevention program, with the aim of its potential expansion at national level.

Acknowledgements

We want to express our gratitude to Sidi Mohammed Ben Abdellah University (USBMA) of Fez, the Faculty of Medicine, Pharmacy, and Dentistry of Fez (FMPDF), the Hassan II University Hospital Centre, and the National Initiative for Human Development (INDH) for believing in and funding this project. Additionally, we would like to thank in advance the Fez-Meknes Regional Academy of Education and Training, the participating schools and their leaders, as well as the students and their parents/guardians.Additionally, we acknowledge the valuable early contributions of Fouzia DAHMANI, Fatima EL HOUARI, Fatima Zahrae BARTAL, Nassiba BAHRA, and Fadoua ABOULAITHE to this project’s preliminary stages.

Abbreviations

CAST

Cannabis Abuse Screening Test

CG

Control Group

CRAFFT

Car, Relax, Alone, Forget, Friends, Trouble

DASS-21

Depression, Anxiety and Stress Scale – 21 Items

GSHS

Global School-based Student Health Survey

HBM

Health Belief Model

HONC

Hooked on Nicotine Checklist

ICC

Intra-cluster Correlation

IG

Intervention Group

ISI

Insomnia Severity Index

LRT

Likelihood Ratio Tests

MAR

Missing At Random

MedSPAD

Mediterranean School Survey Project on Alcohol and other Drugs

M.I.N.I.

Mini-International Neuropsychiatric Interview

NFI

Normed Fit Index

NPV

Negative Predictive Value

PBT

Problem Behavior Theory

PPV

Positive Predictive Value

RMSEA

Root Mean Square Error of Approximation

SLT

Social Learning Theory

SNT

Social Norms Theory

SRMR

Standardized Root Mean Square Residual

cRCT

Stratified Cluster Randomized Controlled Trial

TLI

Tucker–Lewis Index

TPB

Theory of Planned Behavior

TRA

Theory of Reasoned Action

UNODC

United Nations Office on Drugs and Crime

WHO

World Health Organization

Author contributions

HEM conceptualized, formulated the objectives and designed the study, contributed to data acquisition, curation, analysis, interpretation, visualization, and drafted the original manuscript. SGM/AE (Abdelfettah) contributed to the conception, formulation of objectives, design of the study, data curation, and funding acquisition. MER contributed to the conception and methodology of the study. FTA/SEG/KZ/IT/SC/AEA participated in project administration, particularly in training the trainers. GB/AEM/DZ/KK contributed to visualization. SA/SB/AE (Abdelghaffar)/HEK contributed to data acquisition and curation. KR contributed to the conception and methodology of the study, and the funding acquisition. BZ contributed to the conception and design of the study, methodology, data analysis, and critical revision and editing of the manuscript.

Funding

This project is funded by Sidi Mohammed Ben Abdellah University (USMBA), the Faculty of Medicine, Pharmacy, and Dentistry of Fez (FMPDF), the Hassan II University Hospital Centre, and the National Initiative for Human Development (NIHD), covering financial support and intervention execution. The Hassan II University Hospital Centre and the INDH has not played or will not play a role in the design, execution or reporting of the study. Through the authors, Sidi Mohammed Ben Abdellah University (USMBA) and the Faculty of Medicine, Pharmacy, and Dentistry of Fez (FMPDF), will play a role in study design, data collection and analysis, and manuscript preparation.

Data availability

No datasets were generated or analyzed during the preparation of this research protocol. Upon completion of the study, all resulting data will be deposited in an open access public repository, and a permanent URL/DOI link will be provided at that time.

Declarations

Ethics approval and consent to participate

Ethical oversight and trial registration. Approval to conduct the study was obtained from the Ethics Committee of the Hassan II University Hospital in Fez (reference number: 02/24 – January 2024). The study was also registered with the Pan African Clinical Trials Registry in January 2024 under the identifier PACTR202401711272288. Consent procedures. Permission to implement the study will be sought from school headmasters, while participation will require the voluntary agreement of students and their parents or legal guardians. Given the minor status of participants, dual consent procedures will be systematically applied—even for parents not directly involved in the intervention—and no ethics waiver was granted. All participants will receive detailed information regarding the objectives of the study and will be asked to provide written informed consent prior to recruitment. Data protection and confidentiality. To ensure ethical integrity, research procedures will adhere strictly to the principles of the Declaration of Helsinki. Confidentiality will be safeguarded through the use of unique identifiers, the exclusion of personally identifiable information, and the secure storage of encrypted data on restricted-access servers. All audio recordings will be anonymized during transcription and destroyed thereafter. Results will only be reported in aggregate form to maintain participant anonymity. Risk mitigation and distress management. Although the study involves no more than minimal risk, some participants may experience mild discomfort when responding to sensitive questions. To address this, a structured framework will be implemented. Preventive measures include informing participants of their right to decline any question or withdraw at any time without consequences. Participants will also be informed that assessment tools are not intended for clinical diagnosis and that support resources are available if needed. Data collection will occur in a school setting under supervision of trained research assistants, who will monitor participants and provide immediate support if necessary. A standardized debriefing procedure will be implemented at each session’s end to normalize any potential discomfort. Response procedures will be activated in cases of elevated distress, with referrals made to school-based support services (guidance counselors or psychologists) or, where unavailable, to local healthcare providers through school administration.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Ballestar-Tarín ML, Ibáñez-del-Valle V, Cauli O, Navarro-Martínez R. Personal and Social Consequences of Psychotropic Substance Use: A Population-Based Internet Survey. Medicina. 2022;58(1):65. 10.3390/medicina58010065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Rabie M, Shaker NM, Gaber E, El-Habiby M, Ismail D, El-Gaafary M, et al. Prevalence updates of substance use among Egyptian adolescents. Middle East Curr Psychiatry. 2020;27(1):4. 10.1186/s43045-019-0013-8. [Google Scholar]
  • 3.United Nations Office on Drugs and Crime. World Drug Report 2022 [Internet]. New York: United Nations; 2022 [cited 2023 Aug 18]. Available from: https://www.unodc.org/res/wdr2022/MS/WDR22_Booklet_2_french.pdf.
  • 4.Hauser SR, Rodd ZA, Deehan GA, Liang T, Rahman S, Bell RL. Effects of adolescent substance use disorders on central cholinergic function. In: International Review of Neurobiology [Internet]. Elsevier; 2021 [cited 2023 Aug 20]. pp. 175–221. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0074774221000556. 10.1016/bs.irn.2021.07.008. [DOI] [PubMed]
  • 5.Irons DE, Iacono WG, McGue M. Tests of the effects of adolescent early alcohol exposures on adult outcomes: Effects of early alcohol on adult outcomes. Addiction. 2015;110(2):269–78. 10.1111/add.12747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zych I, Rodríguez-Ruiz J, Marín-López I, Llorent VJ. Longitudinal stability and change in adolescent substance use: A latent transition analysis. Child Youth Serv Rev. 2020;112:104933. 10.1016/j.childyouth.2020.104933. [Google Scholar]
  • 7.Zarrouq B, Bendaou B, El Asri A, Achour S, Rammouz I, Aalouane R, 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(1):1. 10.1186/s12889-016-3143-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.World Health Organization [WHO]. Global School-based Student Health Survey-2016 [Internet]. Morocco; 2020 Feb [cited 2020 Jun 28]. p. 5. (GSHS). Available from: https://extranet.who.int/ncdsmicrodata/index.php/catalog/649/datafile/F1.
  • 9.El Omari F, Sabir M, Toufiq J. Résultats de l’enquête MedSPAD III - Maroc 2017 [Internet]. Morocco; 2018 [cited 2020 Mar 15]. p. 60. Available from: https://rm.coe.int/2018-ppg-med-1-MedSPAD-report-morocco-fra/16808cbf41
  • 10.Bendaou B, Zarrouq B, El Kinany K, Lyoussi B, Benjelloun MC, Nejjari C, et al. Risk factors and prevalence of use of different tobacco products among school adolescents in the North Central region of Morocco: a cross-sectional study. Pan Afr Med J. 2018;30. 10.11604/pamj.2018.30.73.10896. [DOI] [PMC free article] [PubMed]
  • 11.Zarrouq B, Bendaou K, Rammouz I, Najdi A, Nejjari C, El Rhazi K. Les déterminants de l’usage des substances psychoactives chez les collégiens et les lycéens marocains, régions de Fès-Boulemane et Taza-Taounate-El Hoceima, Maroc. Revue d’Épidémiologie. et de Santé Publique. 2014;62:S198–9. 10.1016/j.respe.2014.06.089. [Google Scholar]
  • 12.Gray KM, Squeglia LM. Research Review: What have we learned about adolescent substance use? J Child Psychol Psychiatr. 2018;59(6):618–27. 10.1111/jcpp.12783. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Malmberg M, Overbeek G, Kleinjan M, Vermulst A, Monshouwer K, Lammers J, et al. Effectiveness of the universal prevention program ‘Healthy School and Drugs’: Study protocol of a randomized clustered trial. BMC Public Health. 2010;10(1):541. 10.1186/1471-2458-10-541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Squeglia LM, Gray KM. Alcohol and Drug Use and the Developing Brain. Curr Psychiatry Rep. 2016;18(5):5. 10.1007/s11920-016-0689-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Sanchez ZM, Valente JY, Pereira APD, Cogo-Moreira H, Melo MHS, Caetano SC, et al. Effectiveness evaluation of the school-based drug prevention program #Tamojunto2.0: protocol of a cluster randomized controlled trial. BMC Public Health. 2019;19(1):1. 10.1186/s12889-019-7090-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Van Ryzin MJ, Roseth CJ. Peer influence processes as mediators of effects of a middle school substance use prevention program. Addict Behav. 2018;85:180–5. 10.1016/j.addbeh.2018.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kristjansson AL, Mann MJ, Sigfusson J, Thorisdottir IE, Allegrante JP, Sigfusdottir ID. Development and Guiding Principles of the Icelandic Model for Preventing Adolescent Substance Use. Health Promot Pract. 2020;21(1):1. 10.1177/1524839919849032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Nawi AM, Ismail R, Ibrahim F, Hassan MR, Manaf MRA, Amit N, et al. Risk and protective factors of drug abuse among adolescents: a systematic review. BMC Public Health. 2021;21(1):2088. 10.1186/s12889-021-11906-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Beckman L, Svensson M, Geidne S, Eriksson C. Effects on alcohol use of a Swedish school-based prevention program for early adolescents: a longitudinal study. BMC Public Health. 2017;17(1):1. 10.1186/s12889-016-3947-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Onrust SA, Otten R, Lammers J, Smit F. School-based programmes to reduce and prevent substance use in different age groups: What works for whom? Systematic review and meta-regression analysis. Clin Psychol Rev. 2016;44:45–59. 10.1016/j.cpr.2015.11.002. [DOI] [PubMed] [Google Scholar]
  • 21.Malmberg M, Overbeek G, Kleinjan M, Vermulst A, Monshouwer K, Lammers J, et al. Effectiveness of the universal prevention program ‘Healthy School and Drugs’: Study protocol of a randomized clustered trial. BMC Public Health. 2010;10(1):1. 10.1186/1471-2458-10-541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Medeiros PFP, Cruz JI, Schneider R, Sanudo D, Sanchez A. Process evaluation of the implementation of the Unplugged Program for drug use prevention in Brazilian schools. Subst Abuse Treat Prev Policy. 2016;11(1):1. 10.1186/s13011-015-0047-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Botvin GJ, Griffin KW. School-based programmes to prevent alcohol, tobacco and other drug use. Int Rev Psychiatry. 2007;19(6):6. 10.1080/09540260701797753. [DOI] [PubMed] [Google Scholar]
  • 24.Maalouf W, Stojanovic M, Kiefer M, Campello G, Heikkila H, El-Khatib Z. Lions Quest Skills for Adolescence Program as a School Intervention to Prevent Substance Use—a Pilot Study Across Three South East European Countries. Prev Sci. 2019;20(4):4. 10.1007/s11121-019-01012-6. [DOI] [PubMed] [Google Scholar]
  • 25.Arnaud N, Weymann J, Lochbühler K, Pietsch B, Rossa M, Kraus L, et al. Effectiveness of an app-based intervention to reduce substance use, gambling, and digital media use in vocational school students: study protocol for a randomized controlled trial. Trials. 2022;23(1):277. 10.1186/s13063-022-06231-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Chang FC, Chang YC, Lee CM, Lung CN, Liao HJ, Lee SC, et al. Effects of a school-based drug use prevention programme for middle-school students in Taiwan. Drugs: Educ Prev Policy. 2015;22(1):43–51. 10.3109/09687637.2014.952271. [Google Scholar]
  • 27.Chang CC, Liao JY, Huang CM, Hsu HP, Chen CC, Guo JL. Evaluation of the effects of a designated program on illegal drug cessation among adolescents who experiment with drugs. Subst Abuse Treat Prev Policy. 2018;13(1):2. 10.1186/s13011-017-0139-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Luna PJ, Pedersen ER, Howard SS. Adoption, Training, and Implementation of the Project ALERT Drug Prevention Program in Chile. Health Behav Policy Rev. 2016;3(2):153–64. 10.14485/HBPR.3.2.7. [Google Scholar]
  • 29.Williams C, Griffin KW, Mehta RK, Botvin GJ. Testing an evidence-based drug abuse and violence preventive approach adapted for youth in juvenile justice diversionary settings. Health Justice. 2021;9(1):3. 10.1186/s40352-021-00128-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Maalouf W, Stojanovic M, Kiefer M, Campello G, Heikkila H, El-Khatib Z. Lions Quest Skills for Adolescence Program as a School Intervention to Prevent Substance Use—a Pilot Study Across Three South East European Countries. Prev Sci. 2019;20(4):555–65. 10.1007/s11121-019-01012-6. [DOI] [PubMed] [Google Scholar]
  • 31.Cuijpers P. Effective ingredients of school-based drug prevention programs. Addict Behav. 2002;27(6):1009–23. 10.1016/S0306-4603(02)00295-2. [DOI] [PubMed] [Google Scholar]
  • 32.Botvin GJ, Schinke SP, Epstein JA, Diaz T, Botvin EM. Effectiveness of culturally focused and generic skills training approaches to alcohol and drug abuse prevention among minority adolescents: Two-year follow-up results. Psychol Addict Behav. 1995;9(3):183–94. 10.1037/0893-164X.9.3.183. [Google Scholar]
  • 33.Griffin KW, Botvin GJ, Nichols TR, Doyle MM. Effectiveness of a universal drug abuse prevention approach for youth at high risk for substance use initiation. Prev Med. 2003;36(1):1. 10.1006/pmed.2002.1133. PubMed PMID: 12473419. [DOI] [PubMed] [Google Scholar]
  • 34.Tobler NS, Stratton HH. Effectiveness of School-based drug prevention programs: A meta-analysis of the research. J Prim Prev. 1997;18(1):1. 10.1023/A:1024630205999. [Google Scholar]
  • 35.Teesson M, Champion KE, Newton NC, Kay-Lambkin F, Chapman C, Thornton L, et al. Study protocol of the Health4Life initiative: a cluster randomised controlled trial of an eHealth school-based program targeting multiple lifestyle risk behaviours among young Australians. BMJ Open. 2020;10(7):e035662. 10.1136/bmjopen-2019-035662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Botvin GJ, Griffin KW. Life skills training: Preventing substance misuse by enhancing individual and social competence. New Dir Youth Dev. 2014;2014(141):57–65. 10.1002/yd.20086. [DOI] [PubMed] [Google Scholar]
  • 37.Botvin GJ, Baker E, Dusenbury L, Botvin EM, Diaz T. Long-term follow-up results of a randomized drug abuse prevention trial in a white middle-class population. JAMA. 1995;273(14):14. PubMed PMID: 7707598. [PubMed] [Google Scholar]
  • 38.Ariza C, Pérez A, Sánchez-Martínez F, Diéguez M, Espelt A, Pasarín MI, et al. Evaluation of the effectiveness of a school-based cannabis prevention program. Drug Alcohol Depend. 2013;132(1–2):257–64. 10.1016/j.drugalcdep.2013.02.012. [DOI] [PubMed] [Google Scholar]
  • 39.Kumpfer KL, Alvarado R, Smith P, Bellamy N. Cultural Sensitivity and Adaptation in Family-Based Prevention Interventions. Prev Sci. 2002;3(3):241–6. 10.1023/A:1019902902119. [DOI] [PubMed] [Google Scholar]
  • 40.Kumpfer KL, Alvarado R. Family-strengthening approaches for the prevention of youth problem behaviors. Am Psychol. 2003;58(6–7):457–65. 10.1037/0003-066X.58.6-7.457. [DOI] [PubMed] [Google Scholar]
  • 41.Vadrucci S, Vigna-Taglianti FD, van der Kreeft P, Vassara M, Scatigna M, Faggiano F, et al. The theoretical model of the school-based prevention programme Unplugged. Glob Health Promot. 2016;23(4):49–58. 10.1177/1757975915579800. [DOI] [PubMed] [Google Scholar]
  • 42.Jessor R. Problem-Behavior Theory. In: Raithel J, editor. Risikoverhaltensweisen Jugendlicher [Internet]. Wiesbaden: VS Verlag für Sozialwissenschaften; 2001 [cited 2021 Feb 19]. pp. 61–78. Available from: https://link.springer.com/chapter/10.1007/978-3-663-11310-2_3.
  • 43.Rosenstock IM. Why People Use Health Services: Why People Use Health Services. Milbank Q. 2005;83(4):Online–only. 10.1111/j.1468-0009.2005.00425.x.
  • 44.Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior [Internet]. Prentice-Hall; 1980. Available from: https://books.google.co.ma/books.
  • 45.Campbell EQ. The Internalization of Moral Norms. Sociometry. 1964;27(4):391. 10.2307/2785655. [Google Scholar]
  • 46.Domitrovich CE, Bradshaw CP, Greenberg MT, Embry D, Poduska JM, Ialongo NS. Integrated models of school-based prevention: Logic and theory. Psychol Sch. 2010;47(1):71–88. 10.1002/pits.20452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Campbell MK, Piaggio G, Elbourne DR, Altman DG, CONSORT Group. Consort 2010 statement: extension to cluster randomised trials. BMJ. 2012;345:e5661. 10.1136/bmj.e. 5661 PubMed PMID: 22951546. [DOI] [PubMed] [Google Scholar]
  • 48.Nguyen VN, Miller C, Sunderland J, McGuiness W. Understanding the Hawthorne effect in wound research—A scoping review. Int Wound J. 2018;15(6):1010–24. 10.1111/iwj.12968. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Babbie ER. The practice of social research. 12th ed. Belmont, Calif: Wadsworth Cengage; 2010. p. 530. [Google Scholar]
  • 50.Heo M, Leon AC. Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials. Stat Med. 2009;28(6):1017–27. 10.1002/sim.3527. PubMed PMID: 19153969; PubMed Central PMCID: PMC2758777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Parker K, Nunns M, Xiao Z, Ford T, Ukoumunne OC. Intracluster correlation coefficients from school-based cluster randomized trials of interventions for improving health outcomes in pupils. J Clin Epidemiol. 2023;158:18–26. 10.1016/j.jclinepi.2023.03.020. [DOI] [PubMed] [Google Scholar]
  • 52.Juras R. Estimates of Intraclass Correlation Coefficients and Other Design Parameters for Studies of School-Based Nutritional Interventions. Eval Rev. 2016;40(4):314–33. 10.1177/0193841X16675223. [DOI] [PubMed] [Google Scholar]
  • 53.Guittet L, Giraudeau B, Ravaud P. A priori postulated and real power in cluster randomized trials: mind the gap. BMC Med Res Methodol. 2005;5(1):25. 10.1186/1471-2288-5-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Bonell C, Jamal F, Harden A, Wells H, Parry W, Fletcher A, et al. Systematic review of the effects of schools and school environment interventions on health: evidence mapping and synthesis. Public Health Res. 2013;1(1):1–320. 10.3310/phr01010. [PubMed] [Google Scholar]
  • 55.Weare K, Nind M. Mental health promotion and problem prevention in schools: what does the evidence say? Health Promot Int. 2011;26(suppl 1):i29–69. 10.1093/heapro/dar075. [DOI] [PubMed] [Google Scholar]
  • 56.Mertens E, Deković M, Leijten P, Van Londen M, Reitz E. Components of School-Based Interventions Stimulating Students’ Intrapersonal and Interpersonal Domains: A Meta-analysis. Clin Child Fam Psychol Rev. 2020;23(4):605–31. 10.1007/s10567-020-00328-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Vogl L, Teesson M, Andrews G, Bird K, Steadman B, Dillon P. A computerized harm minimization prevention program for alcohol misuse and related harms: randomized controlled trial. Addiction. 2009;104(4):564–75. 10.1111/j.1360-0443.2009.02510.x. [DOI] [PubMed] [Google Scholar]
  • 58.Teesson M, Newton NC, Slade T, Carragher N, Barrett EL, Champion KE, et al. Combined universal and selective prevention for adolescent alcohol use: a cluster randomized controlled trial. Psychol Med. 2017;47(10):1761–70. 10.1017/S0033291717000198. [DOI] [PubMed] [Google Scholar]
  • 59.Hewitt CE, Kumaravel B, Dumville JC, Torgerson DJ. Assessing the impact of attrition in randomized controlled trials. J Clin Epidemiol. 2010;63(11):1264–70. 10.1016/j.jclinepi.2010.01.010. [DOI] [PubMed] [Google Scholar]
  • 60.Henneberger AK, Rose BA, Feng Y, Johnson T, Register B, Stapleton LM, et al. Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland. Prev Sci. 2023;24(5):1035–45. 10.1007/s11121-023-01533-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Bertaux D, editor. Biography and society: the life history approach in the social sciences. Sage studies in international sociology. Beverly Hills, Calif: Sage; 1981. p. 309. no. 23). [Google Scholar]
  • 62.Stame N. Theory-Based Evaluation and Types of Complexity. Evaluation. 2004;10(1):1. 10.1177/1356389004043135. [Google Scholar]
  • 63.Wong G, Westhorp G, Manzano A, Greenhalgh J, Jagosh J, Greenhalgh T. RAMESES II reporting standards for realist evaluations. BMC Med. 2016;14(1):1. 10.1186/s12916-016-0643-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Vadrucci S, Vigna-Taglianti FD, van der Kreeft P, Vassara M, Scatigna M, Faggiano F, et al. The theoretical model of the school-based prevention programme Unplugged. Glob Health Promot. 2016;23(4):4. 10.1177/1757975915579800. [DOI] [PubMed] [Google Scholar]
  • 65.Rosenstock IM, Why People Use Health Services. Why People Use Health Services. Milbank Q. 2005;83(4):4. 10.1111/j.1468-0009.2005.00425.x. [Google Scholar]
  • 66.Campbell EQ. The Internalization of Moral Norms. Sociometry. 1964;27(4):4. 10.2307/2785655. [Google Scholar]
  • 67.McGuire WJ. Public communication as a strategy for inducing health-promoting behavioral change. Prev Med. 1984;13(3):299–319. 10.1016/0091-7435(84)90086-0. [DOI] [PubMed] [Google Scholar]
  • 68.Petty RE, Cacioppo JT. The elaboration likelihood model of persuasion. In: Advances in Experimental Social Psychology [Internet]. Elsevier; 1986 [cited 2023 Nov 18]. pp. 123–205. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0065260108602142. 10.1016/S0065-2601(08)60214-2.
  • 69.Greenwald AG. Cognitive learning, cognitive response to persuasion, and attitude change. In: Psychological Foundations of Attitudes [Internet]. Elsevier; 1968 [cited 2023 Nov 18]. pp. 147–70. Available from: https://linkinghub.elsevier.com/retrieve/pii/B978148323071950012X.
  • 70.Festinger L. A theory of cognitive dissonance. Stanford University Press; 1957.
  • 71.Lamboy B, Guillemont J. Développer les compétences psychosociales des enfants et des parents: pourquoi et comment? Devenir. 2015;26(4):307–25. 10.3917/dev.144.0307. [Google Scholar]
  • 72.United Nations Office on Drugs and Crime, editor. Schools: school-based education for drug abuse prevention. New York: United Nations; 2005. p. 84. [Google Scholar]
  • 73.United Nations Office on Drugs and Crime, World Health Organization. International standards on drug use prevention [Internet]. 2nd ed. Vienna: World Health Organization. 2018 [cited 2023 Dec 5]. 73 p. Available from: https://iris.who.int/handle/10665/274262.
  • 74.El Malki H, El-Ammari A, Moutawakkil SG, Elgnaoui S, Houari FE, Rhazi KE, et al. Psychometric assessment of the Moroccan version of the car, relax, alone, forget, friends, trouble (CRAFFT) scale among adolescent and young adults with a substance use disorder. Addict Sci Clin Pract. 2025;20(1):28. 10.1186/s13722-025-00557-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.El Malki H, Moutawakkil SG, El-Ammari A, Ragala MEA, El Hilaly J, El Gnaoui S, et al. Psychometric properties of the cannabis abuse screening test (CAST) in a sample of Moroccans with cannabis use. Addict Sci Clin Pract. 2024;19(1):24. 10.1186/s13722-024-00459-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.DiFranza JR, Savageau JA, Fletcher K, Ockene JK, Rigotti NA, McNeill AD, et al. Measuring the Loss of Autonomy Over Nicotine Use in Adolescents: The DANDY (Development and Assessment of Nicotine Dependence in Youths) Study. Arch Pediatr Adolesc Med. 2002;156(4):4. 10.1001/archpedi.156.4.397. [DOI] [PubMed] [Google Scholar]
  • 77.Oneib B, El Filali A, Abda N. The Moroccan dialect version of the Insomnia Severity Index. Middle East Curr Psychiatry. 2022;29(1):11. 10.1186/s43045-022-00182-4. [Google Scholar]
  • 78.Moussa MT, Lovibond P, Laube R, Megahead HA. Psychometric Properties of an Arabic Version of the Depression Anxiety Stress Scales (DASS). Res Social Work Pract. 2017;27(3):3. 10.1177/1049731516662916. [Google Scholar]
  • 79.Kadri N, Agoub M, Gnaoui SE, Alami KM, Hergueta T, Moussaoui D. Moroccan colloquial Arabic version of the Mini International Neuropsychiatric Interview (MINI): qualitative and quantitative validation. Eur psychiatr. 2005;20(2):193–5. 10.1016/j.eurpsy.2004.11.007. [DOI] [PubMed] [Google Scholar]
  • 80.Malterud K, Siersma VD, Guassora AD. Sample Size in Qualitative Interview Studies: Guided by Information Power. Qual Health Res. 2016;26(13):1753–60. 10.1177/1049732315617444. [DOI] [PubMed] [Google Scholar]
  • 81.Braun V, Clarke V. Thematic analysis: a practical guide. Los Angeles London New Delhi Singapore Washington, DC Melbourne: Sage; 2022. p. 338. [Google Scholar]
  • 82.Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38(4):963–74. PubMed PMID: 7168798. [PubMed] [Google Scholar]
  • 83.Perneger TV. How to use likelihood ratios to interpret evidence from randomized trials. J Clin Epidemiol. 2021;136:235–42. 10.1016/j.jclinepi.2021.04.010. [DOI] [PubMed] [Google Scholar]
  • 84.Vauclair C. Hierarchical linear modeling. In: Keith KD, editor. The Encyclopedia of Cross-Cultural Psychology [Internet]. 1st edn. Wiley; 2013 [cited 2026 Apr 13]. pp. 651–7. Available from: https://onlinelibrary.wiley.com/doi/10.1002/9781118339893.wbeccp265.
  • 85.Hedges LV, Hedberg EC. Intraclass Correlation Values for Planning Group-Randomized Trials in Education. Educational Evaluation Policy Anal. 2007;29(1):60–87. 10.3102/0162373707299706. [Google Scholar]
  • 86.Kwok OM, Lai MHC, Tong F, Lara-Alecio R, Irby B, Yoon M, et al. Analyzing Complex Longitudinal Data in Educational Research: A Demonstration With Project English Language and Literacy Acquisition (ELLA) Data Using xxM. Front Psychol. 2018;9:790. 10.3389/fpsyg.2018.00790. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Gerra G, Benedetti E, Resce G, Potente R, Cutilli A, Molinaro S. Socioeconomic Status, Parental Education, School Connectedness and Individual Socio-Cultural Resources in Vulnerability for Drug Use among Students. IJERPH. 2020;17(4):1306. 10.3390/ijerph17041306. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Clinchard C, Lee TH, Lindenmuth M, Brieant A, Deater-Deckard K, Noble KG, et al. Family socioeconomic status and adolescent substance use: The role of parent–adolescent brain similarity and parental monitoring. J Fam Psychol. 2024;38(4):677–84. 10.1037/fam0001223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Mollborn S, Lawrence E, Family. Peer, and School Influences on Children’s Developing Health Lifestyles. J Health Soc Behav. 2018;59(1):133–50. 10.1177/0022146517750637. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Ariza C, Pérez A, Sánchez-Martínez F, Diéguez M, Espelt A, Pasarín MI, et al. Evaluation of the effectiveness of a school-based cannabis prevention program. Drug Alcohol Depend. 2013;132(1–2):1–2. 10.1016/j.drugalcdep.2013.02.012. [DOI] [PubMed] [Google Scholar]
  • 91.Shope JT, Dielman TE, Butchart AT, Campanelli PC, Kloska DD. An elementary school-based alcohol misuse prevention program: a follow-up evaluation. J Stud Alcohol. 1992;53(2):106–21. 10.15288/jsa.1992.53.106. [DOI] [PubMed] [Google Scholar]
  • 92.Dusenbury L. A review of research on fidelity of implementation: implications for drug abuse prevention in school settings. Health Educ Res. 2003;18(2):237–56. 10.1093/her/18.2.237. [DOI] [PubMed] [Google Scholar]
  • 93.Medeiros PFP, Cruz JI, Schneider R, Sanudo D, Sanchez A. Process evaluation of the implementation of the Unplugged Program for drug use prevention in Brazilian schools. Subst Abuse Treat Prev Policy. 2016;11(1):2. 10.1186/s13011-015-0047-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Carroll KM. Methodological issues and problems in the assessment of substance use. Psychol Assess. 1995;7(3):349–58. 10.1037/1040-3590.7.3.349. [Google Scholar]
  • 95.Carroll KM, Rounsaville BJ. On beyond urine: clinically useful assesment instruments in the treatment of drug dependence. Behav Res Ther. 2002;40(11):1329–44. 10.1016/S0005-7967(02)00038-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Faggiano F, Vigna-Taglianti F, Versino E, Zambon A, Borraccino A, Lemma P. School-based prevention for illicit drugs’ use. In: The Cochrane Collaboration, editor. Cochrane Database of Systematic Reviews [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 2005 [cited 2025 Mar 6]. p. CD003020.pub2. Available from: 10.1002/14651858.CD003020.pub2. [DOI] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No datasets were generated or analyzed during the preparation of this research protocol. Upon completion of the study, all resulting data will be deposited in an open access public repository, and a permanent URL/DOI link will be provided at that time.


Articles from Addiction Science & Clinical Practice are provided here courtesy of BMC

RESOURCES