Spironolactone Tablet, Film Coated
Product Images NDC 72162-1627
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Spironolactone (NDC 72162-1627). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Bryant Ranch Prepack, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Figure 1 (Spironolactone 02)
This appears to be a graph plotting the probability of some event occurring over a period of 48 months. One line represents the effect of a drug called Spironolactone, while the other line represents a placebo. The graph suggests that the drug has a significant impact on the likelihood of the event occurring, with a log-rank p-value of less than 0.001. However, without additional context or information about the event being measured, it is difficult to provide a more specific description.*
Figure 2 (Spironolactone 03)
This appears to be a medical chart or data table with various measurements and medications related to an unspecified subgroup. The measurements include creatinine and potassium levels, and there is a comparison between spironolactone and placebo. Not enough information is available to provide a more specific description.*
Label (Lbl721621627)
This is a description of Spironolactone Tablets, USP containing 100 mg of Spironolactone. It is advised to keep the medication away from children and store it at controlled room temperature. It is recommended to dispense in a tight and light-resistant container. The packaging has been repackaged by Bryant Ranch Prepack, Inc. and manufactured by Frontida BioPharm, Inc. The NDC code is 72162-1627-2.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.