Product Images Propafenone Hydrochloride
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Product Label Images
The following 5 images provide visual information about the product associated with Propafenone Hydrochloride NDC 59651-278 by Aurobindo Pharma Limited, 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.
Each extended-release capsule distributed by Aurobindo Pharma USA contains 225 mg of Propafenone hydrochloride. It is important not to accept the product if the seal over the bottle opening is broken or missing. The recommended dosage and other information can be found in the accompanying Code: TS/DRUGS/22/2009 CEPSIHES USP prescribing information. The capsules should be stored at 68°F to 77°F and dispensed in a tight, child-resistant container. The product is made in India.*
Each extended-release capsule contains 325mg of Propafenone hydrochloride made by Aurobindo Pharma USA, Inc. The capsules prescribing information should be consulted for standard dosage. The capsules should be stored in a tight container and kept in at 20° to 25°C (68° to 77°F) [see USP Controlled Room Temperature]. The medicine should not be used if the seal over the bottle opening is broken or missing. The capsules should be dispensed using a child-resistant closure as defined in the USP.*
This is a description of extended-release capsules containing 425mg of Propafenone Hydrochloride USP distributed by Aurohindo Pharma USA Inc. The capsules are numbered with NDC 59651-278-60 and their usual dosage and prescribing information can be found in accompanying material. The capsules must be stored between 20°C to 25°C (68°F to 77°F) and must not be accepted if the seal is broken or missing. They should be dispensed in tight containers with child-resistant closures. A manufacturing code Y09822LS96GEN and a code for Propafenone Hydrochloride TS/DRUGS/22/2009 is included in the text.*
* 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.