美国大麻的重新引入：对州和部落大麻生产计划的内容分析。
The reintroduction of hemp in the USA: a content analysis of state and tribal hemp production plans.
作者信息
Falkner Amanda, Kolodinsky Jane, Mark Tyler, Snell William, Hill Rebecca, Luke Amelia, Shepherd Jonathan, Lacasse Hannah
机构信息
Department of Community Development and Applied Economics, University of Vermont, 146 University Place, Morrill Hall Room 205, Burlington, VT, 05405-1016, USA.
University of Kentucky, Lexington, USA.
出版信息
J Cannabis Res. 2023 Jun 7;5(1):17. doi: 10.1186/s42238-023-00181-0.
BACKGROUND
The reintroduction of Cannabis sativa L. in the form of hemp (< 0.3% THC by dry weight) into the US agricultural sector has been complex and remains confounded by its association with cannabis (> 0.3% THC by dry weight). This has been further exacerbated by inconsistent hemp regulations in the US since the 2014 Farm Bill's reintroduction.
METHODS
A content analysis was performed to analyze the terms and definitions presented by state and tribal hemp production plans, the USDA Hemp producer license, and the 2014 state pilot plans. A total of 69 hemp production plans were analyzed.
RESULTS
Results suggest significant discrepancies between hemp production plans, which have been exacerbated by extending the 2014 Farm Bill language into the 2018 Farm Bill timeframe.
CONCLUSIONS
Findings from this study point to areas in need of uniformity and consistency as the regulatory framework is modified and provides a starting point for change for federal policymakers. The results may also be useful to companies attempting to market products across state boundaries. Suggestions for how to mitigate these inconsistencies are provided based on the content analysis findings.
背景
以大麻（干重四氢大麻酚含量<0.3%）形式将大麻引入美国农业部门的过程一直很复杂，且因其与大麻（干重四氢大麻酚含量>0.3%）的关联而仍存在混淆。自2014年《农业法案》重新引入以来，美国大麻法规的不一致使情况进一步恶化。
方法
进行了一项内容分析，以分析州和部落大麻生产计划、美国农业部大麻生产者许可证以及2014年州试点计划中提出的术语和定义。共分析了69个大麻生产计划。
结果
结果表明大麻生产计划之间存在重大差异，将2014年《农业法案》的措辞扩展到2018年《农业法案》时间范围内，使这种差异进一步加剧。
结论
本研究结果指出了在修改监管框架时需要统一和一致的领域，并为联邦政策制定者提供了变革的起点。这些结果可能对试图跨州销售产品的公司也有用。根据内容分析结果，提供了如何减轻这些不一致性的建议。
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