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Triamterene And Hydrochlorothiazide Tablet
Product Images NDC 0591-0348
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 Triamterene And Hydrochlorothiazide (NDC 0591-0348). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Actavis Pharma, 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.
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This is a description of Triamterene and Hydrochlorothiazide Tablets, USP 5, with NDC code 0591-0424-01. Each tablet contains Triamterene, USP and Hydrochlorothiazide, USP. They come in a bottle of 100 tablets and should be stored at temperatures between 20°C to 25°C. The medication should be kept out of reach of children and dispensed in a light-resistant container with a child-resistant closure. Usual dosage instructions will be seen in the insert for full prescribing information. The manufacturer of these tablets is Wation Pharma Private Limited based in Verma Sakette, Goa, India. The distributor of the tablets is Retavs Pharma Inc., located in Parsippany, New Jersey, USA, with the date of revision indicated as CODRUGS7A1 199461=1.*
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This is a prescription medication with the NDC code 0591-0348-01. The medication is a combination of Triamterene and Hydrochlorothiazide in tablet form, and is manufactured by Actavis. Each tablet contains 75mg of Tramterene and 50mg Hydrochlorothiazide. The medication should be dispensed in a tightly sealed, light-resistant container with a child-resistant closure and stored at a temperature of 20 to 25°C. The usual dosage and other prescribing information can be found in the insert. This medication is distributed by an organization named Codey, Inc, with the code DRUGSA1 1994631.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
