Eplerenone Tablet
Product Images NDC 16571-173
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Eplerenone (NDC 16571-173). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Rising Pharma Holdings, 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.
Figure 1 (Fig 1)
Figure 2 (Fig 2)
This is a breakdown showing hazard ratios of all-cause mortality based on different subgroups such as age, gender, race, diabetes status, hypertension status, Killip class, creatinine clearance, use of baseline beta blockers, ACE inhibitors, digoxin, and diuretics. The data provides insights into how these factors may impact overall mortality rates.*
Fig-3 (Fig 3)
Fig-4 (Fig 4)
Bottle-label (Label 25mg 30ct)
This is a medication information detailing the drug Eplerenone in tablet form. It includes dosage, storage instructions, and manufacturer details like Rising Pharma Holdings in East Brunswick, NJ. The tablets are recommended to be stored at a temperature range of 15°C to 30°C (59°F to 86°F) in a tight, child-resistant container. The prescription details may also be available online for batch specifics.*
Bottle-label (Label 50mg 30ct)
This is a description of Eplerenone tablets in 50 mg strength with 30 tablets in a pack. The prescribing information should be consulted for dosage and use instructions. The tablets should be stored at 25°C with excursions allowed between 15° to 30°C. They must be dispensed in a tight, child-resistant container. Manufactured for Rising Pharma Holdings, Inc., the product is made in India. Batch details are available online for printing in a 40x20 mm area.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.