The Structural Formula Of Phenazopyridine Hydrochloride. (Phenazopyridine Hydrochloride Tablets 01)
Phenazopyridine Hydrochloride
Product Images NDC 10135-621
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Phenazopyridine Hydrochloride (NDC 10135-621). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Marlex 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.
Principal Display Panelndc 10135-0620-01phenazopyridinehydrochloridetablets, Usp100 mgrx Only100 Tablets (Phenazopyridine Hydrochloride Tablets 02)
This is a medication called Phenazopyridine Hydrochloride, which comes in tablet form. Its manufacturer is Manachred oDt y: ytex Pramaceutcads and it is only available with a prescription (Rx only). The bottle contains 100 tablets and the National Drug Code (NOC) is 10135062001. No other relevant information is available due to the limited and fragmented nature of the provided text.*
Principal Display Panelndc 10135-0621-01phenazopyridinehydrochloridetablets, Usp200 mgrx Only100 Tablets (Phenazopyridine Hydrochloride Tablets 03)
Marlex is a medication in tablet form containing 200mg of Phenazopyridine Hydrochloride, which is used for relieving pain and discomfort caused by urinary tract infections. The recommended dosage can be found on the package outsert, and the medication should be stored at room temperature. The provided NDC number can be used for identification purposes. The medication should be kept out of reach of children and is available in a bottle containing 100 tablets. It is manufactured and distributed by Warkx Pharmaceutical Inc. in New Castle, DE.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
