Product Images Simvastatin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Simvastatin NDC 54868-5630 by Physicians Total Care, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

image of 10 mg package label - 5627

image of 10 mg package label - 5627

image of 20 mg package label - 5628

image of 20 mg package label - 5628

This is a label for a pharmaceutical product called Sinvastatin. The product is distributed by Physicians Total Care and comes in a 260g package. The lot number of the package is "v ogen ERP, ATE 01760". The National Drug Code (NDC) for the product is 54868-5628-0.*

image of 40 mg package label - 5629

image of 40 mg package label - 5629

This appears to be a label for a medication called "Sinvastatin" with a dosage of "40 mg". The label appears to be intended for physicians or healthcare providers who may administer or prescribe the medication.*

image of 80 mg package label - 5630

image of 80 mg package label - 5630

This is a description of a medication called Simvastatin B8N that is distributed by Physicians Total Care. It has an NDC code of 54868-5630-0 and a lot number of 0060 with an expiration date of 1/60. The rest of the text is not readable and contains random characters.*

image of 5mg package label - 6066

image of 5mg package label - 6066

structure - zocor 01

structure - zocor 01

figure - zocor 02

figure - zocor 02

This is a table with data on the incidence of major vascular events and major coronary events in patients treated with Simvastatin and Placebo. The table shows the incidence of events for different patient characteristics like age, gender, diabetes, CHD, etc. The data is presented in terms of baseline incidence, risk ratio (85% CI), and risk ratio (95% CI).*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.