Simvastatin Tablet, Film Coated
Product Images NDC 55154-4782

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Simvastatin (NDC 55154-4782). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cardinal Health 107, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1

Figure 1
This is a figure showing the effects of treatment with Simvastatin in High-risk Patients with cardiovascular diseases on Major Vascular Events (MVEs) and Major Coronary Events (MCEs). The figure presents the baseline incidence of MVEs and MCEs in all patients, patients with and without CHD or diabetes mellitus, patients with peripheral vascular disease or cerebrovascular disease, gender, age, LDL-cholesterol levels, and HDL-cholesterol levels. The results are presented in risk ratios for simvastatin and placebo with their respective 95% Confidence Intervals for both MVEs and MCEs.*
FDA Label Image

Structure

Structure
Not available.*
FDA Label Image

B60d9f40 F9f0 2a9f E053 2995a90a30cc 00

B60d9f40 F9f0 2a9f E053 2995a90a30cc 00
This is a unit dose package containing 10 film-coated tablets of Simvastatin USP, each of which contains 20 mg of the active ingredient. Simvastatin is used to treat high cholesterol levels in adults. The product insert contains dosage recommendations and precautions. The package warns that it is not child-resistant and should be kept out of reach of children. The package should not be used if the blister is torn or broken. This package is distributed by American Health Packaging, a subsidiary of AmerisourceBergen, in Columbus, Ohio.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.