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Global Health Economics and
            Sustainability
                                                                                Model designs for recovery from addiction



            Table 1. Summary of Models of Recovery (Molina Fernández et al., 2022)
            Model          Country/ies       Framework            Tools           Programs          NGO
            Biopsychosocial Spain (international)  Medical, psychological,   Motivation, behavioral   Outpatient and   Proyecto Hombre,
                                        and social (environmental)  change, emotional   residential facilities  CEIS
                                        models             modulation, social capital
            PCP        The United States and   Sociological model skills,   Motivational interviews,   Focused on social   Dianova, Institute
                       Canada (international)  Empowerment, “housing   design of case, action plan,   reintegration  Pulla
                                        first”             social capital
            CHIME      Belgium, the United   Skills, empowerment, and  Social support, services   Community   EURAD, Popov
                       Kingdom, and Sweden  environmental models  network, motivation, social   intervention
                                                           capital
            HERMESS    Belgium, Croatia, Spain,  Skills model and   Motivation, behavioral   Therapeutic   San Patrignano,
                       Italy, and Sweden  empowerment      change, training in skills,   communities,   BASTA, Stijena
                                                           pre-professional training  social reintegration
                                                                              enterprises,
                                                                              entrepreneurship
            Abbreviation: PCP: Person centred planning.

                                                               ARC through the Living in Recovery questionnaire (Best
                                                               et al., 2020) can increase the relevance and effectiveness
                                                               of recovery-based programs, both as healthcare and social
                                                               responses to addictive behavior issues (EMCDDA, 2017).
                                                               Identifying the strengths and challenges faced by such
                                                               interventions may help identify the individuals and groups
                                                               most likely to have successful recovery programs (Best
                                                               et al., 2020).
                                                                 For successful development and implementation of
                                                               recovery programs, the various risk groups that currently
                                                               exist should be extensively researched (EMCDDA, 2017;
                                                               Molina-Fernández, 2023). Furthermore, there is an urgent
                                                               need to design effective adaptations of interventions that
                                                               are tailored to the specific needs and problems of different
                                                               profiles of people with addiction issues, such as women,
                                                               young cannabis users, or functional cocaine users. The more
                                                               concrete and precise we are when designing interventions,
                                                               the more effective they will be, leading to a better prognosis
                                                               (Molina-Fernández,  2023).  This  approach  is  particularly
            Figure 2. HERMESS model visual chart (Bazanti et al., 2017)
                                                               important for women undergoing treatment. There is
                                                               substantial scientific evidence showing that women have
            a purely medical or pathological issue. Social interventions,   special needs and vulnerabilities that must be addressed
            especially social support and networks, are crucial in   when receiving treatment; however, these factors are rarely
            addressing addictive behavior (Best et al., 2020). Moreover,   considered (Molina Fernández et al., 2022), suggesting a
            drug addiction treatment resources should include   need for women-specific programs and initiatives tailored
            multidisciplinary teams; this offers substantial advantages   to each woman’s unique circumstances (Molina-Fernández
            in providing comprehensive recovery services. It is also   et al., 2022).
            essential to ensure that professionals receive complementary
                                                                 It is important to move beyond the binary debate
            training on transversal aspects to facilitate better detection   between “harm reduction” and “recovery” and recognize
            of problems and enable effective and equitable program
            design and interventions (Milkman & Wanberg, 2012).  that both types of intervention are necessary, leading
                                                               to an integrated, comprehensive intervention system
              Using  proven  best  practice  models  such  as  the   (Molina-Fernández, 2023). Future studies must also
            HERMESS recovery model (Barzanti  et al., 2017) or   consider cultural aspects and factors related to substance



            Volume 3 Issue 1 (2025)                         73                       https://doi.org/10.36922/ghes.3243
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