Product Images Primidone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Primidone NDC 72789-178 by Pd-rx 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.

72789177 Label - 72789177

72789177 Label - 72789177

Each tablet of this medication contains 250mg of Primidone, USP and FD&C Yellow No. 5 as a color additive. The usual dosage and additional information can be found in the package insert. These tablets are manufactured by Oxford Pharmaceuticals, LLC and distributed by PD-Rx Pharmaceuticals, Inc with a child-resistant closure. It is recommended to store these tablets in a well-closed container at room temperature. The guide to each patient and product details label can be found with the barcode GTIN: 00372789177014. This is prescription medication and should be kept out of reach of children. The lot number of this particular batch is E21E53 with an expiration date of 08/2023.*

72789178 Label - 72789178

72789178 Label - 72789178

Each tablet of Primidone USP 50mg is to be dispensed in a well-closed container with a child-resistant closure. The medication is to be stored at 20 to 25°C (68 to 77°F). The usual dosage must be obtained from the package insert. The medication guide should be given to each patient by the pharmacist along with the tablets. This medication should be kept out of reach of children. The manufacturer of Primidone Tablets USP is PD-Rx Pharmaceuticals, Inc. and it is marketed and packaged by them as well. The tablets are manufactured by Oxford Pharmaceuticals, LLC. The product comes in a pack of 100 tablets and the batch number C21E70 is expiring on 03/2023.*

Structural Formula - structure

Structural Formula - 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.