Product Images Eplerenone
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Eplerenone NDC 16571-174 by Rising Pharma Holdings, 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.
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-4 - fig 4

This is a prescription guideline for Eplerenone dosing, consisting of the following recommendations: - Seudy 1 OD (once daily) - Seudy 2 QD (once daily) - Seudy 2 BID (twice daily) The dosage might be between 100 and 150 mg/day.*
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.*
* 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.