Product Images Hydrocortisone
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Product Label Images
The following 4 images provide visual information about the product associated with Hydrocortisone NDC 72789-228 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.
This is a medication containing Hydrocortisone 5mg per tablet. It is important to keep out of reach of children and use only under direct physician supervision. The dosage and use information can be found in the accompanying prescribing information. It is marketed and packaged by PD-Rx Pharmaceuticals, Inc and manufactured by Sandoz Pharma Global Pte. Ltd. The medication should be stored at room temperature and dispensed in tight containers. The product details include 50 tablets, a GTIN of 0037278927504, an expiration date of 02/2024, and a LOT number of 99799.*
Each tablet contains 10mg of Hydrocortisone. The medication should be kept out of the reach of children and stored at 20° to 25°C (68° to 77°F) in tight containers. It should only be used under the direct supervision of a physician. The tablets are manufactured by Strides Pharma Global Pte. Ltd. in Singapore and marketed and packaged by PD-Rx Pharmaceuticals, Inc. More information can be found in the accompanying prescribing information. The batch number is 99299, the expiry date is 02/2024, and the GTIN is 00372789228013.*
Each tablet contains 20mg of Hydrocortisone. The medication is to be kept out of reach of children and stored at 20° to 25°C. The drug is manufactured by PD-Rx Pharmaceuticals under the direct supervision of a physician. This is a potent medication and a warning has been issued regarding its use. The medication is packaged in tight containers and contains 100 tablets. The expiration date of the medication is 02/2024 and the LOT is Z99299.*
* 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.