Introduction: Multimorbidity involves the coexistence of two or more chronic conditions within an individual and presents a substantial and growing challenge for primary healthcare systems worldwide. This systematic review aims to comprehensively assess and analyze the existing literature on healthcare management interventions tailored to multimorbid patients in primary healthcare. Methods: This systematic review conducted an extensive search for studies on multimorbidity management interventions in primary healthcare from a specified date range. The study included human subjects of all age groups diagnosed with multimorbidity and focused on healthcare management outcomes. A rigorous selection process, data extraction, and quality assessment were carried out, and a narrative approach was used to summarize the findings. The review followed PRISMA guidelines and did not require ethical approval as it used publicly available data. Results: This systematic review initially identified 65 relevant studies, of which 7 met the inclusion criteria following a rigorous two-step selection process. Quality assessment was conducted using appropriate tools for different study designs to ensure the credibility of the review's findings. These seven studies exhibited diversity in design, interventions, and patient populations. Due to the heterogeneity of the data, a quantitative meta-analysis was not feasible, and a narrative synthesis approach was used to qualitatively assess trends in health outcomes, patient satisfaction, and healthcare utilization. Publication bias was evaluated where applicable. Conclusions: The systematic review provides crucial insights into healthcare management interventions tailored to multimorbid patients in primary healthcare settings, with percentages highlighting the varying impact on health outcomes, patient satisfaction, and healthcare utilization. The results emphasize the importance of personalized and patient-centered approaches in managing multimorbidity and underscore the complexity of this patient population.