Product Images Donepezil Hydrochloride

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Product Label Images

The following 17 images provide visual information about the product associated with Donepezil Hydrochloride NDC 64239-404 by Dexcel Pharma Technologies Ltd., 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.

100 Tablets - 100 tablets

100 Tablets - 100 tablets

Each tablet contains 23mg of donepezil hydrochloride, manufactured by Dexcel Pharma Technologies Ltd. The tablets are available in 100 count bottles and should be dispensed in tight containers. Dosage and use information can be found in the prescribing information. The tablets should be stored between 20°C-25°C with excursions permitted between 15°C-30°C. The tablets should be protected from moisture. The NDC number for this product is 64235-404-10.*

30 Tablets - 30 tablets

30 Tablets - 30 tablets

This is a drug label for Donepezil Hydrochloride Tablets. Each tablet contains 23mg of the drug and is manufactured by Dexcel Pharma Technologies Ltd in Israel. The NDC number is 64238-404-03 and it is only available with a prescription. The recommended dosage and usage can be found in the accompanying prescribing information. The drug should be stored in a tight container, protected from moisture, at a temperature between 20-25°C.*

500 Tablets - 500 tablets

500 Tablets - 500 tablets

This is a description for tablets containing 23mg of donepezil hydrochloride manufactured by Dexcel Pharma Technologies Ltd. The tablets come in a bottle of 500 tablets with an NDC number of 84238-404-50. They are only available through a prescription and must be stored between 20°-25°C (58°77°A) with excursions permitted to 15°-30°C (59°86°F). The tablets must be kept in tight containers to protect them from moisture. Dosage and other information can be found in the accompanying prescribing information.*

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* 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.