Spironolactone Tablet, Film Coated
Product Images NDC 43063-974

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Spironolactone (NDC 43063-974). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Pd-rx Pharmaceuticals, Inc., 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

43063974 Label (43063974)

This is a label for a bottle containing Spironolactone, which is a medication used to treat high blood pressure or excess fluid retention caused by certain conditions like heart failure or kidney disease. It's made by 2 Pharmaceuticals Inc. and the bottle contains 90 tablets of 50mg each. The reorder number is 110793 and it expires in November 2021. The label advises patients to take the tablets 2 to 3 times daily and to call a doctor if they experience side effects which can also be reported to the FDA.*

FDA Label Image

Figure 1. Survival By Treatment Group In The Randomized Spironolactone Evaluation Study (Spironolactone Figure 1)

The text is not available for generating a useful description.*

FDA Label Image

Figure 2. Hazard Ratios Of All-cause Mortality By Subgroup In The Randomized Spironolactone Evaluation Study (Spironolactone Figure 2)

This appears to be a chart or table with headings "Subgroup" and "-vy — 5" and a series of numbers listed underneath. There is also a line with the numbers 02, 04, 06, 08, 1.0, 1.2, and 1.4. The text "Spironolactone better" and "Placebo better" are listed underneath this line, possibly indicating the results of a study or experiment. Without further context, it is difficult to provide a specific description of the contents of this chart or table.*

FDA Label Image

Chemical Structure (Spironolactone Structure Image)

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