Separation and identification of amiloride, metoprolol, hydrochlorothiazide, Carvedilol and amlodipine, in human plasma using the presented SPE and HPLC procedures was selective, efficient, robust, economical, environmentally friendly, and repeatable. Because plasma samples showed no evidence of a secondary peak, it was determined that the claimed drug-drug interaction between cardiovascular medications did not occur. Furthermore, no new peak was generated, indicating no metabolic product. This is the first report on isolating and identifying these nine cardiovascular medicines. Thus, SPE and HPLC techniques may be used to investigate these 5 cardiovascular medications. Successful monitoring of these medications in human plasma was achieved using the established SPE and HPLC technologies. The results of this inquiry were contrasted with those that had already been released. In comparison to other works in the literature, it was determined that the current study had the best complete baseline separation and lowest detection limit. The retention, separation, and resolution factors were discovered to have ranges of 0.07-9.14, 1.44-4.21, and 2.15-18.66, respectively. The SPE and UFLC techniques created and verified for this purpose were used to examine human plasma samples for the presence of cardiovascular drugs. Peak retention, separation, resolution, and symmetry all matched the reference samples' values. The results for symmetry, separation, and resolution were all in agreement with the reference samples. The methods used to separate and identify amiloride, metoprolol, hydrochlorothiazide; Carvedilol and Amlodipine in human plasma were found to be selective, effective, hardy, affordable, environmentally friendly, and reproducible, according to the authors. The selectivity of the SPE technique was validated by the absence of any secondary signal in the plasma samples. Additionally, there was no evidence of these drugs degrading in the plasma sample. This is the initial report on the simultaneous isolation and identification of these eight medications. The well-known SPE and UFLC techniques were successfully used to monitor these drugs in human plasma. Therefore, these drugs can be detected in any plasma sample using SPE or UFLC methods