Depression is among the most prevalent mental disorders, impairing quality of life and imposing substantial economic costs. Despite effective treatments, access to traditional care is limited by cost, availability, and stigma. Digital and alternative therapies have emerged to expand access, support self-management, and improve adherence. Objective: To map and synthesize evidence on the effectiveness and acceptability of digital and alternative interventions for depression. Methods: Following PRISMA, searches in major databases (2020–2025) identified randomized trials, pilot studies, systematic reviews, and meta-analyses with DOIs. We extracted design, population, interventions, comparators, outcomes, and results. Quality was assessed with RoB 2, ROBINS-I, and AMSTAR-2. Results: Seven studies met criteria. Internet-based CBT showed moderate effectiveness with variable adherence. Mobile apps reduced depressive symptoms but were heterogeneous. In low- and middle-income settings, digital approaches were effective yet hindered by access and engagement barriers. Virtual reality interventions were feasible, acceptable, and promising. Mindfulness-based programs reduced depression, anxiety, and stress, particularly with comorbidities. A multiverse meta-analysis supported overall effectiveness across analytic choices. Conclusion: Digital and alternative therapies appear effective, scalable, and acceptable for depression management, though challenges in adherence, cultural adaptation, and validation persist. Future work should emphasize large randomized trials, cost-effectiveness, inclusion, and equitable global implementation.