Jeremy Mennis, Gerald J. Stahler, Michael J. Mason
{"title":"Commentary on Pessar et al.: ‘Downscaling’ United States state cannabis policy to investigate environmental and social impacts on cannabis use","authors":"Jeremy Mennis, Gerald J. Stahler, Michael J. Mason","doi":"10.1111/add.16694","DOIUrl":null,"url":null,"abstract":"<p>Evidence of the negative health effects of cannabis legalization continues to accumulate. The research by Pessar and colleagues [<span>1</span>] joins a small, but growing body of research, which provides evidence that reducing legal restrictions on cannabis is associated with increases in not only adult, but also adolescent, cannabis use prevalence [<span>2</span>]. This is of key concern as long-term, frequent cannabis use among adolescents and young adults can affect brain development [<span>3</span>], potentially impacting cognitive function and the likelihood of developing psychiatric disorders [<span>4</span>]. Risk for cannabis use disorder (CUD) among those who use cannabis is especially high for adolescents [<span>5, 6</span>] and, of all age groups in the United States (US), young adults have the highest prevalence of CUD (16.6% of all young adults, 5.6 million people) [<span>7</span>].</p><p>Pessar and colleagues [<span>1</span>] offer a key scientific advance by treating state level cannabis policy as a continuous variable that reflects the degree of legal restrictions on cannabis use, cultivation, distribution, advertising and other characteristics [<span>8</span>]. This contrasts with the vast majority of cannabis policy impact studies that have used a simple, dichotomous classification of legal versus illegal. Pessar and colleagues' [<span>1</span>] approach, therefore, offers a more sensitive and precise measure of the variation in cannabis policies across the states and, consequently, a greater weight of evidence regarding the impact of liberalizing cannabis policy on the prevalence of cannabis use. The article raises several important additional questions: (1) how do increasingly liberal cannabis policies impact other outcomes besides past-month cannabis use, such as the frequency of use, prevalence of CUD and CUD treatment; (2) which specific cannabis policy changes are most impactful regarding problematic cannabis use, particularly among vulnerable populations such as adolescents and young adults; and (3) what are the mechanisms by which specific cannabis policies impact cannabis use behaviors?</p><p>Answering these questions relies on understanding the environmental and social contexts that serve as key pathways by which state level cannabis policies influence cannabis use behaviors for individuals. For instance, legalization of commercial cannabis sales can increase not only access to cannabis but also environmental exposures to cannabis retailers and advertising, enhancing social acceptability of cannabis use and belief in its health benefits, while also reducing the perception of cannabis as harmful [<span>9, 10</span>]. These changes in attitudes can consequently influence behaviors such as cannabis use initiation, frequency of use and CUD treatment engagement and adherence. Analogous to Pessar and colleagues' [<span>1</span>] innovation in the precision of measurement of cannabis policy, recent advances in geospatial technologies and methods afford fine-scale measurement of individual level environmental exposures for modeling pathways from environmental and social contextual forces to cannabis use [<span>11, 12</span>].</p><p>Notably, the emphasis on environmental and social contexts aligns with theories in social ecology, health geography and exposomics as applied to drug addiction [<span>13, 14</span>], where individual substance use behaviors are understood to be rooted within nested layers of social, neighborhood and societal/policy contexts. Such theoretical frameworks and methodological approaches are key to extending the work of Pessar and colleagues to ‘downscale’ state level policy effects to the more granular neighborhood and family and peer social contexts through which policy impacts on individual behaviors typically occur. This approach facilitates an understanding of the relative effects of specific macro level policy and regulatory mechanisms on various individual level cannabis use behaviors and health outcomes.</p><p>Increasing health risks derived from cannabis liberalization are best addressed from a public health perspective, rather than criminalization of cannabis use, which has in the past led to mass incarceration and other negative and inequitable societal impacts [<span>15</span>]. Future research should investigate the differential impacts of specific public health-oriented regulations such as restrictions on cannabis potency and types of cannabis products; taxation and other measures that increase the cost to acquire cannabis; and limitations on the locations of cannabis sales and types of advertising [<span>16</span>]. Additionally, more research is needed to evaluate public health interventions, especially for vulnerable populations such as adolescents and young adults, including interventions targeting early detection of problematic cannabis use and referral to CUD treatment from non-criminal justice sources [<span>17</span>]; the effectiveness of mHealth CUD treatments, which can enhance treatment accessibility [<span>18</span>]; and harm reduction approaches that promote safer cannabis use [<span>19</span>]. Such research is vital to informing effective legal and public health responses to expanding cannabis legalization.</p><p><b>Jeremy Mennis:</b> Conceptualization (lead); writing—original draft (lead). <b>Gerald J. Stahler:</b> Conceptualization (supporting); writing—original draft (supporting). <b>Michael J. Mason:</b> Conceptualization (supporting).</p><p>None.</p>","PeriodicalId":109,"journal":{"name":"Addiction","volume":"120 1","pages":"171-173"},"PeriodicalIF":5.2000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645218/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addiction","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/add.16694","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Evidence of the negative health effects of cannabis legalization continues to accumulate. The research by Pessar and colleagues [1] joins a small, but growing body of research, which provides evidence that reducing legal restrictions on cannabis is associated with increases in not only adult, but also adolescent, cannabis use prevalence [2]. This is of key concern as long-term, frequent cannabis use among adolescents and young adults can affect brain development [3], potentially impacting cognitive function and the likelihood of developing psychiatric disorders [4]. Risk for cannabis use disorder (CUD) among those who use cannabis is especially high for adolescents [5, 6] and, of all age groups in the United States (US), young adults have the highest prevalence of CUD (16.6% of all young adults, 5.6 million people) [7].
Pessar and colleagues [1] offer a key scientific advance by treating state level cannabis policy as a continuous variable that reflects the degree of legal restrictions on cannabis use, cultivation, distribution, advertising and other characteristics [8]. This contrasts with the vast majority of cannabis policy impact studies that have used a simple, dichotomous classification of legal versus illegal. Pessar and colleagues' [1] approach, therefore, offers a more sensitive and precise measure of the variation in cannabis policies across the states and, consequently, a greater weight of evidence regarding the impact of liberalizing cannabis policy on the prevalence of cannabis use. The article raises several important additional questions: (1) how do increasingly liberal cannabis policies impact other outcomes besides past-month cannabis use, such as the frequency of use, prevalence of CUD and CUD treatment; (2) which specific cannabis policy changes are most impactful regarding problematic cannabis use, particularly among vulnerable populations such as adolescents and young adults; and (3) what are the mechanisms by which specific cannabis policies impact cannabis use behaviors?
Answering these questions relies on understanding the environmental and social contexts that serve as key pathways by which state level cannabis policies influence cannabis use behaviors for individuals. For instance, legalization of commercial cannabis sales can increase not only access to cannabis but also environmental exposures to cannabis retailers and advertising, enhancing social acceptability of cannabis use and belief in its health benefits, while also reducing the perception of cannabis as harmful [9, 10]. These changes in attitudes can consequently influence behaviors such as cannabis use initiation, frequency of use and CUD treatment engagement and adherence. Analogous to Pessar and colleagues' [1] innovation in the precision of measurement of cannabis policy, recent advances in geospatial technologies and methods afford fine-scale measurement of individual level environmental exposures for modeling pathways from environmental and social contextual forces to cannabis use [11, 12].
Notably, the emphasis on environmental and social contexts aligns with theories in social ecology, health geography and exposomics as applied to drug addiction [13, 14], where individual substance use behaviors are understood to be rooted within nested layers of social, neighborhood and societal/policy contexts. Such theoretical frameworks and methodological approaches are key to extending the work of Pessar and colleagues to ‘downscale’ state level policy effects to the more granular neighborhood and family and peer social contexts through which policy impacts on individual behaviors typically occur. This approach facilitates an understanding of the relative effects of specific macro level policy and regulatory mechanisms on various individual level cannabis use behaviors and health outcomes.
Increasing health risks derived from cannabis liberalization are best addressed from a public health perspective, rather than criminalization of cannabis use, which has in the past led to mass incarceration and other negative and inequitable societal impacts [15]. Future research should investigate the differential impacts of specific public health-oriented regulations such as restrictions on cannabis potency and types of cannabis products; taxation and other measures that increase the cost to acquire cannabis; and limitations on the locations of cannabis sales and types of advertising [16]. Additionally, more research is needed to evaluate public health interventions, especially for vulnerable populations such as adolescents and young adults, including interventions targeting early detection of problematic cannabis use and referral to CUD treatment from non-criminal justice sources [17]; the effectiveness of mHealth CUD treatments, which can enhance treatment accessibility [18]; and harm reduction approaches that promote safer cannabis use [19]. Such research is vital to informing effective legal and public health responses to expanding cannabis legalization.
Jeremy Mennis: Conceptualization (lead); writing—original draft (lead). Gerald J. Stahler: Conceptualization (supporting); writing—original draft (supporting). Michael J. Mason: Conceptualization (supporting).
大麻合法化对健康产生负面影响的证据不断积累。Pessar和他的同事们的研究加入了一个虽小但不断增长的研究群体,这些研究提供的证据表明,减少对大麻的法律限制不仅与成年人吸食大麻的比例增加有关,而且与青少年吸食大麻的比例增加有关。这是一个关键问题,因为青少年和年轻人长期频繁使用大麻会影响大脑发育,潜在地影响认知功能和发生精神疾病的可能性。在大麻使用者中,青少年患大麻使用障碍(CUD)的风险尤其高[5,6],在美国所有年龄组中,年轻人的CUD患病率最高(占所有年轻人的16.6%,560万人)。Pessar和他的同事提供了一项重要的科学进展,他们将州一级的大麻政策视为一个连续变量,反映了对大麻使用、种植、分销、广告和其他特征的法律限制程度。这与绝大多数大麻政策影响研究形成鲜明对比,这些研究使用了简单的合法与非法的二分分类。因此,Pessar及其同事的[1]方法提供了一种更敏感、更精确的方法来衡量各州大麻政策的差异,因此,就大麻自由化政策对大麻使用流行率的影响提供了更有力的证据。这篇文章提出了几个重要的附加问题:(1)日益自由的大麻政策如何影响除过去一个月大麻使用之外的其他结果,例如使用频率,CUD患病率和CUD治疗;(2)哪些具体的大麻政策变化对有问题的大麻使用最有影响,特别是对青少年和青年等弱势群体;(3)具体大麻政策影响大麻使用行为的机制是什么?回答这些问题取决于对环境和社会背景的理解,这些环境和社会背景是州一级大麻政策影响个人大麻使用行为的关键途径。例如,商业大麻销售合法化不仅可以增加获得大麻的机会,还可以增加大麻零售商和广告对环境的影响,提高社会对大麻使用的可接受性和对其健康益处的信念,同时还可以减少对大麻有害的看法[9,10]。因此,这些态度的改变会影响大麻使用的开始、使用频率和CUD治疗的参与和坚持等行为。与Pessar及其同事在大麻政策测量精度方面的创新类似,地理空间技术和方法的最新进展为从环境和社会背景力量到大麻使用的建模途径提供了个人水平环境暴露的精细测量[11,12]。值得注意的是,对环境和社会背景的强调与适用于吸毒成瘾的社会生态学、健康地理学和暴露学理论相一致[13,14],其中个人物质使用行为被理解为植根于社会、邻里和社会/政策背景的嵌套层。这样的理论框架和方法方法是将Pessar及其同事的工作扩展到“缩小规模”的州一级政策影响到更细粒度的社区、家庭和同伴社会背景的关键,通过这些环境,政策对个人行为的影响通常会发生。这种方法有助于了解具体宏观层面政策和监管机制对各种个人层面大麻使用行为和健康结果的相对影响。最好从公共卫生的角度来解决大麻自由化带来的日益增加的健康风险,而不是将大麻使用定为刑事犯罪,因为刑事犯罪过去曾导致大规模监禁和其他负面和不公平的社会影响[b]。未来的研究应调查具体的面向公共卫生的法规的不同影响,如对大麻效力和大麻产品类型的限制;增加获得大麻成本的税收和其他措施;以及对大麻销售地点和广告类型的限制。此外,需要更多的研究来评估公共卫生干预措施,特别是针对青少年和青年等弱势群体的公共卫生干预措施,包括针对早期发现有问题的大麻使用和从非刑事司法来源转介到CUD治疗的干预措施[b];移动医疗CUD治疗的有效性,这可以提高治疗的可及性[10];以及促进更安全使用大麻的减少危害方法。 这种研究对于为扩大大麻合法化提供有效的法律和公共卫生对策至关重要。Jeremy Mennis:概念化(主演);写作——原稿(引子)。Gerald J. Stahler:概念化(支持);写作-原稿(附)。Michael J. Mason:概念化(支持)。没有。
期刊介绍:
Addiction publishes peer-reviewed research reports on pharmacological and behavioural addictions, bringing together research conducted within many different disciplines.
Its goal is to serve international and interdisciplinary scientific and clinical communication, to strengthen links between science and policy, and to stimulate and enhance the quality of debate. We seek submissions that are not only technically competent but are also original and contain information or ideas of fresh interest to our international readership. We seek to serve low- and middle-income (LAMI) countries as well as more economically developed countries.
Addiction’s scope spans human experimental, epidemiological, social science, historical, clinical and policy research relating to addiction, primarily but not exclusively in the areas of psychoactive substance use and/or gambling. In addition to original research, the journal features editorials, commentaries, reviews, letters, and book reviews.