Product Images Nitrofurantoin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Nitrofurantoin NDC 70069-829 by Somerset Therapeutics, Llc, 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.
nitrofurantoin-spl-carton - nitrofurantoin spl carton
This is a description for Nitrofurantoin Oral Suspension, a medication used as a urinary tract antibacterial. The text provides information for pharmacists and patients regarding dosage, storage instructions, and expiration date. It emphasizes the use of an appropriately graduated oral dosing syringe for accurate measurements. The medication should be dispensed in a light-resistant container and shaken vigorously before use. It is advised to keep the medication away from strong light, to avoid freezing, and to discard any unused portion after 30 days of opening. The product contains 25 mg of nitrofurantoin per 5 mL. The manufacturer is Somerse Therapeutics located in Somerse, New Jersey.*
nitrofurantoin-spl-container - nitrofurantoin spl container
This text is a description of a prescription medication called Nitrofurantoin Oral Suspension. It contains 25 mg of nitrofurantoin in each 5 mL. The medication is a urinary tract antibacterial solution that should be dispensed in a tight, light-resistant container and shaken vigorously before use. It is recommended to discard any unused portion after 30 days of first opening. The storage temperature should be maintained between 20°C to 25°C (68°F to 77°F) with excursions permitted to 15°C to 30°C (59°F to 86°F). It should be kept away from freezing and strong light to prevent darkening of the drug. The medication is manufactured for Somerset Therapeutics, LLC in Somerset, NJ.*
nitrofurantoin-spl-structure - nitrofurantoin spl structure
* 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.
