Product Images Terazosin
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Product Label Images
The following 8 images provide visual information about the product associated with Terazosin NDC 59746-386 by Jubilant Cadista Pharmaceuticals 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.
This is a description of a medication with the NDC code 59746-383-06. The medication comes in the form of capsules containing Terazosin Hydrochbride. The capsules are prescribed for medical use, and there is a caution to store them at a controlled room temperature, away from light and moisture. The medication is manufactured by Cadistay Pharmaceuticals, and a bottle contains 100 capsules.*
This is a medication description for Terazosin Hydrochloride, available in capsule form and manufactured by Cadista Pharmaceuticals. Each capsule contains Terazosin Hydrochloride and should be stored in a light-resistant container at controlled room temperature to protect from light and moisture. The package contains 100 capsules, and the prescribing information is included.*
NDC 59746-385-06 is a prescription medication in capsule form containing Torazosin Hydrochloride. Each capsule is made up of Terazosin and is stored in a tightly sealed, high-resistant container as defined by USP guidelines. The capsules should be protected from light and moisture and stored at a temperature of 20-25°C. The drug is manufactured by Cadista and Jubilant Cacta Pharmaceuticals and is sold in packages containing 100 capsules.*
Each capsule contains 10 mg of Terazosin Hydrochloride and is manufactured by CADISTA Pharmaceuticas. The capsules should be dispensed in a light-resistant container as defined in USP, stored at a controlled room temperature of 20-25°C (68-77°F), and protected from moisture. Full prescribing information can be found in the package insert.*
* 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.