Product Images Lovastatin

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Product Label Images

The following 4 images provide visual information about the product associated with Lovastatin NDC 68788-9180 by Preferred Pharmaceuticals, 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.

Lovastatin structural formula - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 01

Lovastatin structural formula - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 01

Figure 1 - Promotions of Participants without Event Chart - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 02

Figure 1 - Promotions of Participants without Event Chart - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 02

The text seems to be a part of a graph or chart. It mentions the title of the figure, which is "Proportion of Participants Without Event" and the label of the y-axis as "Number of Major Coronary Events (Primary Endpoint)". It also gives the number "2 2 K" and "Years of Follow-up". It appears to be discussing a study or research on coronary events in relation to the follow-up period.*

imprint - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 03

imprint - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 03

Lovastatin Tablets, USP 10mg - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 04

Lovastatin Tablets, USP 10mg - c9a957b3 1d7f 4f61 a7d7 38f2edbeb69b 04

Lovastatin Tablets are a medication used in the treatment of high cholesterol. They contain 10mg of Lovastatin, the generic version of Mevacor. The packaging size and expiration date are listed, along with the lot and batch numbers, and the manufacturer is Actavis Elizabeth LLC located in Elizabeth, NJ. The cautionary note mentions that federal law prohibits the transfer of medications to anyone other than the patient for whom it was prescribed. The other text includes various variations of basic information related to the medication including quantity, lot numbers, batch numbers, and prod/ND codes.*

* 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.