Product Images Piroxicam

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Product Label Images

The following 3 images provide visual information about the product associated with Piroxicam NDC 72789-210 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.

72789210 Label - 72789210

72789210 Label - 72789210

Each capsule of Piroxicam, USP contains 10 mg of the drug. It should be stored at a temperature of 20-25°C (68-77°F), with excursions at 15-30°C (59-86°F). The capsules should be dispensed in tight, light-resistant containers as defined in the USP. The package insert for dosage information should be referred to for usual dosage. The medication should be kept out of reach of children. The capsules are available in a pack of 100 and should be dispensed with a Medication Guide. Manufactured by Strides Pharma Science Ltd, the capsules are marketed and packaged by PD-Rx Pharmaceuticals, Inc, Oklahoma City. The expiration date of the medicine is 08/2023, and the LOT number is H21B77.*

72789211 Label - 72789211

72789211 Label - 72789211

Each capsule contains 20mg of Piroxicam, USP. It should be stored at a temperature range between 20°C to 25°C (68°F to 77°F) with excursions permitted at 15°C to 30°C (59°F to 86°F). It should be dispensed in tight and light-resistant containers according to USP standards. The usual dosage must be obtained from the package insert. The drug should be kept out of reach of children. A medication guide should be provided separately to each patient by the pharmacist. The product is manufactured in India by Strides Pharma Science Ltd. and marketed and packaged by PD-Rx Pharmaceuticals, Inc, Oklahoma City, OK 73127. The GTIN number is 00372789211015, and the batch expires in August 2023.*

piroxicam-figure-01 - c98fa1a3 4411 42c3 96eb 90852354c1b3 01

piroxicam-figure-01 - c98fa1a3 4411 42c3 96eb 90852354c1b3 01

* 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.