Product Images Donepezil Hydrochloride
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Product Label Images
The following 15 images provide visual information about the product associated with Donepezil Hydrochloride NDC 72162-2137 by Bryant Ranch Prepack, 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.
Percentage of Patients: This text provides data on the percentage of patients. It indicates percentages of 50, 30, 20, and 10, but the context or subject of these percentages is not clear. Donepezil Hydrochioride Study: The text mentions the use of Donepezil Hydrochioride, a medication prescribed at a dosage of 10mg per day. Placebo: The text mentions the use of a placebo in the study. Improved, Change, and Worse: These terms seem to be related to the evaluation or assessment of patients. However, the specific details or criteria for improvement, change, or worsening are not provided. CIBIC-plus Rating: The text briefly mentions CIBIC-plus, which might refer to a rating system used in the study. However, without more information, it is difficult to determine what this rating entails. Overall, the text provides limited information and lacks clarity.*
This text appears to be the description of a medication called Donepezil Hydrochloride. Each tablet contains 10 mg of the active ingredient Donepezil. The medication is indicated for treating certain neurological conditions and is available in a container with a child-resistant closure. The recommended storage temperature is between 20°C to 25°C (68°F to 77°F), with allowable excursions between 15°C to 30°C (59°F to 86°F). The National Drug Code (NDC) for this medication is 72162-2137-3. It is important to keep this medication and all medications out of the reach of children. The text also mentions the availability of a Medication Guide for patients, which can be accessed through a specific FDA website.*
* 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.