Product Images Carisoprodol

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Product Label Images

The following 2 images provide visual information about the product associated with Carisoprodol NDC 70518-2800 by Remedyrepack 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.

Carisoprodol 350mg 70518 2800 01

Carisoprodol 350mg 70518 2800 01

Carisoprodol is a medication used for muscle relaxation. It comes in the form of a 350mg tablet with 90 pills per bottle. The NDC number for this medication is 70518-2800-01, and it is manufactured by Oxford Pharmaceuticals, LLG in Birmingham, AL. The expiration date and lot number are not available. The packaging directions should be followed, and this medication should be kept away from children. It is important to take caution when handling this drug, and it should not be transferred to anyone other than the patient for whom it was prescribed. The recommended storage temperature is between 20-26°C (63-77°F), with excursions permitted up to 15-30°C (50-86°F) per USP requirements. The medication is repackaged by RemeyRepackine in Indiana, PA and is only available by prescription.*

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

This is a prescription drug with the name Carisoprodol and the National Drug Code (NDC) is 70518-2800-00. It is manufactured by Oxford Pharmaceuticals and has a strength of 350mg. The package contains 60 tablets and the directions for use can be found in the package insert. The drug should be kept out of reach of children and stored between 20-26°C (63-77°F) with excursion permitted to 15-30°C (50-86°F). The lot number and source NDC are also provided, and caution must be taken because federal law prohibits transferring the drug to anyone other than the patient it was prescribed for. The drug has been repackaged by RemeyRepackine in Indiana, with their contact number being 7244858755.*

* 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.