Drug–Drug Interactions in Diuretic Combinations: Impact on Electrolyte Balance and Renal Hemody,namic

Diuretics remain a cornerstone in the management of hypertension, congestive heart failure, and edematous disorders, and their combined use is frequently employed to achieve synergistic therapeutic benefits while overcoming diuretic resistance. Despite their clinical utility, concomitant administration of loop diuretics, thiazides, potassium-sparing agents, and adjunctive therapies introduces a significant risk of drug–drug interactions that may profoundly impact both electrolyte homeostasis and renal hemodynamic. Such interactions often manifest as disturbances in sodium, potassium, magnesium, and calcium levels, leading to arrhythmias, metabolic alkalosis, or nephrotoxicity, thereby complicating long-term patient outcomes. This paper provides a comprehensive analysis of the pharmacodynamic and pharmacokinetic interplay among diuretic classes and their interactions with commonly co-prescribed agents such as ACE inhibitors, ARBs, NSAIDs, and digitalis. Special emphasis is placed on the mechanistic pathways underlying altered tubular handling of electrolytes, changes in glomerular filtration dynamics, and compensatory neurohormonal responses. Emerging biomarkers—including urinary electrolyte ratios, renal injury markers, and genetic polymorphisms—are discussed as potential tools for early detection and monitoring of these adverse interactions. Furthermore, this study introduces novel perspectives by integrating systems pharmacology and network modelling approaches to predict interaction patterns, alongside exploring personalized therapeutic strategies guided by pharmacogenomics. The review underscores the importance of individualized dosing regimens, careful therapeutic monitoring, and innovative combination strategies that balance efficacy with renal safety. Ultimately, the paper aims to advance the understanding of diuretic-related drug–drug interactions and provide a framework for clinicians and researchers to optimize patient care while minimizing risks.