I came across this interesting study. There are many herbs that will help clean plaque in the blood, globe artichoke, garlic and cayenne immediately come to come. This study is with Gotu Kola and Pine needles. Love it so I am sharing it Gotu kola bridges traditional wisdom and modern validation, demonstrating clinically proven capacities to restore microcirculatory integrity, enhance collagen architecture and regeneration, and refine connective tissue function. Atherosclerotic plaques are fatty build-ups in our artery walls. But more than that, they can be thought of as chronic wounds in the arterial lining, driving the entire cascade of arterial disease, from impaired flow through to heart attacks and strokes. They differ not just in size, but in structure and composition and this strongly influences their risk profile. Using high-resolution ultrasound (including grey-scale imaging), clinicians can assess plaque volume, shape, density and uniformity. On this imaging, denser, more fibrous plaques appear brighter or “white” (echogenic) and tend to be more stable. Softer, lipid-rich plaques appear darker or “black” (echolucent) and are more prone to rupture, thrombosis and embolisation, leading to hard cardiovascular events. This difference is reflected in the underlying biology. Unstable plaque is typically richer in lipids, inflammatory cells, and fragile microvessels, while more stable plaque contains more collagen and organised structure. Rather than viewing plaques as simple obstructions to blood flow, this new understanding treats them as dynamic biological lesions, where vulnerability depends on multiple interacting factors. A small presurgical study in 40 patients with advanced carotid plaques scheduled for carotid endarterectomy (a surgical procedure to remove atherosclerotic plaque from the carotid artery) compared six months of pine bark extract (150 mg/day) plus gotu kola extract (450 mg/day) against standard care. When the plaques were removed and examined, the differences were striking and consistent across multiple risk features.