Product Images Lovastatin

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Lovastatin NDC 63187-345 by Proficient Rx Lp, 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.

Structural Formula - lov00 0004 01

Structural Formula - lov00 0004 01

Table I - lov00 0004 02

Table I - lov00 0004 02

Figure 1 - lov00 0004 03

Figure 1 - lov00 0004 03

This is a graph labeled as "Figure 1" displaying the proportion of participants without acute major coronary events over the years of follow-up. The text indicates that the acute major coronary events are the primary endpoint. No other information is available.*

Table VII - lov00 0004 04

Table VII - lov00 0004 04

This is a warning about drugs that may interact with lovastatin, a medication used to lower cholesterol levels, and increase the risk of muscle damage called myopathy/rhabdomyolysis. The text outlines various interacting agents, such as strong CYP3A4 inhibitors, HIV protease inhibitors, gemfibrozil, cyclosporine, danazol, diltiazem, dronedarone, verapamil, and amiodarone, and provides prescribing recommendations for each. It advises against exceeding a certain dose of lovastatin daily or using it with grapefruit juice.*

Lovastatin 40mg - lov00 0004 07

Lovastatin 40mg - lov00 0004 07

This is a prescription-only medication labeled as Lovastatin 40mg, containing 90 white to off-white round tablets engraved with "CTI" over "143". The tablets are manufactured by Carisbad Technology Inc. and packaged by Proficient Rx LP in Thousand Oaks, CA. The lot number is 00000 with an expiration date of 00/00/00. The product is labeled with NDC 63187-345-90 and product ID PL034590. Additionally, the medication should be kept out of the reach of children.*

* 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.